The Department of Computer Science and Engineering
The department of Computer Science and Engineering has designed an innovative and practice-based curriculum that has helped in making its courses one of the best computer science and engineering degrees in Kolkata. The Adamas School of Engineering and Technology has been ranked as No:1 private University offering engineering education in Eastern India.
Overview:
This stream is aimed at providing training in Computer Engineering, software design and hardware-software integration instead of only Software Engineering or Electronic Engineering. Computer Engineers are involved in many hardware and software aspects of computing, from the design of individual microprocessors, personal computers and supercomputers to circuit design. This field of Engineering will not only make the students aware of how the computer systems work, but also help them understand how to integrate each of them to make them work in the bigger picture.
Computer science and engineering (CSE) is an academic program in many universities that integrates the fields of computer engineering and computer science. It is a sub-field of electronic engineering, covering only the digital aspects of electronics engineering, specializing in hardware-systems areas like computer architecture, processor design, high-performance computing, parallel processing, computer networks and embedded systems. CSE programs also include core subjects of computer science such as operating systems, theory of computation, design and analysis of algorithms, data structures and database systems.
The program aims at designing, developing and troubleshooting computing devices (such as personal computers, supercomputers, robots, smart phones, networking devices, embedded devices), focusing the underlying fundamental issues (like processor architecture design, operating system design, memory management, digital system design, communication protocol design, software development and database management) in the most efficient and effective way.
Computer science programs typically centers primarily around theory and software, with only some hardware; upper division courses tend to allow a lot of freedom to specialize in software and theory related areas (e.g. algorithms, artificial intelligence, cryptography/security, graphics/visualization, numerical and symbolic computing, operating systems/distributed processing, software engineering).
Who is the course for?
This course is for the candidates who are intended to establish their career in information technology or pursue research in the field of computing and related areas where computing is directly involved. As it is a diverse field and scattered to all fields of engineering, medical, pharmaceutical, biotechnology etc a student can specialize in Computer Science and Engineering and in any of the related areas.
The importance of this course in the wider discipline/area: Computer engineering programs tend to resemble computer science at the lower division with similar introductory programming and math courses, but diverges from computer science at the upper division with heavy electrical engineering requirements (e.g. digital and analog circuits, integrated circuit design, VLSI design and control systems). Despite the overlap with computer science at the lower division level, computer engineering skews much more heavily toward the electronics side that it has more in common with electrical engineering.
Computer Science and Engineering integrates all of the above and is intended to develop a solid understanding of the entire machine (computer hardware and software). The higher unit count required to complete the program often means that a CSE student will need to spend an extra year in university.
2. What are the learning outcomes?
The Learning Outcomes (LO) are designed in such a manner that at the end of the programme, the students passing degree from the department of Computer Science and Engineering will be able to:
• L.O.1: Understanding of theoretical foundations and limits of computing.
• L.O.2: Understanding of computing at different levels of abstraction including circuits and computer architecture, operating systems, algorithms and applications.
• L.O.3: Ability to adapt established models, techniques, algorithms, and data structures etc. for efficiently solving new problems.
• L.O.4: Ability to design, implements, and evaluate computer based system or application to meet the desired needs using modern tools and methodologies.
• L.O.5: Ability to function effectively in teams to accomplish a common goal.
• L.O. 6: An understanding of professional and ethical responsibility.
• L.O.7: Ability to communicate effectively with a wide range of audience.
• L.O.8: Ability to self-learn and engage in life-long learning too.
• L.O. 9: Understanding and ability to use advanced techniques and tools in different areas of computing.
• L.O. 10: Ability to undertake small research tasks and projects.
• L.O.11: Ability to take an idea and develop into a business plan for an entrepreneurial venture (if desired).
• L.O.12: An understanding of the impact of solutions in an economic, societal and environmental context.
• L.O.13: understand norms of professional and ethical behaviour in engineering practices.
• L.O.14: use new modern techniques and tools for application in the field of computer science and engineering.
3. Subjects covered:
• Data Structures and Algorithms
• Switching Circuits and Logic Design
• Formal Languages and Automata Theory
• Algorithms – II
• Object Oriented Programming
• Software Engineering
• Computer Architecture
• Compiler Design
• Database Management Systems
• Operating Systems
• Computer Networks
• Artificial Intelligence and Machine Learning
4. Lab Infrastructure
◦ Programming and Data Structure Lab
◦ Operating System and Computer Networks Lab
◦ Database Management System Lab
◦ Computer Architecture Lab
◦ Artificial Intelligence Lab
◦ Machine Learning Lab
◦ Cloud Computing and Virtualization Lab
◦ Data Science and Big Data Lab
◦ Network Security and Cryptography Lab
◦ Computer Center
5. Internships/Project work
Students have to approach for internship training starting from at the end of 4th Semester Examination of their study. Internship will prepare students in the way industries work. They will be able to learn the work culture in an industry which is very necessary to accustomed with.
Various institutes/organisations have already provided the internship to our students are:
6. Placement & Career Opportunities / Research Opportunities
It’s natural to perceive a computer science graduate as a programmer with coding skills. Programming is a primary skill that is taught to the students of this department by its star faculties. However, a CS degree teaches students to solve real-life problems. This can be done not only by working as a programmer but also as a designer, analyst, animator or a game developer. As a company that visits Adamas University to hire students, the following are the career options of students who have completed their computer science engineering courses:
i) Software Engineering:
Most CS graduates work under this title. Software engineers are professionals working to find out complex solutions to a number of applications in different sectors. They are not programmers. A software engineer creates the design that the programmer implements.
ii) Graphic Designing:
Graphic designers have an exciting job at hand, as they get to work on interesting projects, and enjoy flexible work options along with good salaries. Front-end Web Designing is one career path that computer designers can opt for.
iii) Software Testing:
A software testing takes the important responsibility of improving the quality of the application. A Tester or Quality Analyst essentially should have the knowledge of the entire software development life cycle.
iv) Information Security Professional:
Information Security is the dynamic field, not very old, but one of the most important from the future’s perspective. Expansion of knowledge in accordance with the latest industry trends is the most vital aspect of this job.
v) Mobile Application Developer:
Smartphones have become as commonplace as anything can be and with their rising use, there is a growing market of mobile apps. An entry-level professional in this field earns a median salary of INR 353,904 (PayScale). This, being a relatively new field, the growth opportunities are immense.
7. Placement Scenario
Following are the placement scenario of the current batch (CSE 4th year):
Anirban Saha (TCS)
Avik Das (Extramarks Education, Nerdy Turtlez etc.)
This course is designed with the growing demand of AI/ML in almost every industry which is compelling the employees across the globe to learn new skills. With this course an engineering graduate will gain skills of AI/ML concepts through various specialized subjects as the sub part of Artificial Intelligence. The demand for AI/ML specialization will continue to grow, which increases the value of Computer Science & Engineering with specialization in AI/ML degree.
A candidate who want to make a career in machine learning engineering or as a data scientist or data analyst or so s/he should study this course.
The global machine learning market was valued at $1.58B in 2017 and is expected to reach $20.83B in 2024, growing at a CAGR of 44.06% between 2017 and 2024. Projected to grow at a CAGR of 42.8% from 2018 to 2024, the global ML market will worth $30.6B in four years. So, this course is perfect for any aspirant who wants to study Computer Science and Engineering decorated with cutting edge technology and grow with current market demand.
2. What are the learning outcomes?
After completing this course students will be able:
Apply AI & ML techniques to a given business problem and utilize its benefits to formulate business problems into AI & ML problem.
Analyze any problem and provide solution through ML algorithm which leads to intelligent and adaptive solution.
Device/propose new ML model for a specific problem.
Demonstrate leadership in their respective careers in computer science engineering with specialization (Hons.) in AI/ML or interrelated areas of industry, government, academia, and research.
Continue to use and enhance their engineering skills to understand term that implies the use of a computer to model and/or replicate intelligent behaviour.
Engage in life-long learning by continuing their education in graduate or professional school or through opportunities for advanced career or professional training.
3.Specializations:
Algorithm for Intelligent System and Robot,
Application of machine learning in industries and Anomaly Detection
Data Analysis & Modelling Technique
Neural Network and Deep Learning Fundamentals
Overview of Recent Trends in AI/ML
4.Lab Infrastructure (if applicable):
The Specialization Laboratories are:
Algorithm for Intelligent System and Robot Lab
Application of machine learning in industries and Anomaly Detection Lab
Neural Network and Deep Learning Fundamentals Lab
Core Laboratories are:
Python Programming Lab
Data Structure Lab
Digital Electronics Lab
Object Oriented Programming Lab
Algorithm Design Lab
Computer Organization Lab
Data Base Management System Lab
Operating System Lab
Computer Network Lab
Software Engineering Lab
Artificial Intelligence and Machine Learning Lab
5.Internships/Project work
The internship is to be carried out at the end of 6th semester of study.
The candidates are selected for internship by a campus selection process.
Internship helps students to build field knowledge and to understand the flow of work in the industry.
Students have to complete “Avant – Garde Projects” from 1st Semester to 5th Semester to generate skills in engineering from the beginning of study.
Student also has to complete a major project at final year which leads to the partial fulfilment of the degree.
These processes of learning will enhance student’s motivation towards the course and career.
Some previous internship done by students are:
Indian Statistical Institute
Tata Steel
Centre for Development of Advanced Computing (CDAC)
BSNL
Scope Telecom
Kreeti technologies
6.Placement & Career Opportunities / Research Opportunities
One of the biggest scopes and opportunities in the market is AI/ML.
Specific growth areas cited in various reports included jobs of Data Scientist, Data Analyst, Data Architect, Machine Learning Engineer, Data Science Manager, etc.
In general engineering graduates with the degree in AI/ML have immense opportunities in the following industries: Smart Maintenance, Better Product Development, Predictive Analytics, Quality Improvement, Market Adaptations, Healthcare, Finance and Start-ups.
After this course students can choose to study post-graduation in engineering/technology (M.E./M.TECH) or in management (MBA).
Besides, engineering graduates in this spcialization has a very good research scope which leads to a doctoral degree (Ph.D.).
For better career opportunities and training Adamas University has Career Development Cell (CDC) who administer all placement and training related issue. Various seminars and lectures series are organized by CDC to update students about present technology, trend, markets, and opportunities.
7. Eligibility
60% Overall in 10+2, PCM required, rest as per AICTE
The primary objective of this course is to find out research challenges and technical gaps that exists between theory and practice in cryptocurrency domain. This course has another aspect which is to quickly configure a new development platform to understand the applications of blockchain in cybersecurity, the integrity of information, E-Governance and other contract enforcement mechanisms. This course will prepare students as competent engineers to analyse and provide economically feasible and socially acceptable solutions of real-life technical problems.
Students who has interest in blockchain, crypto-currency (bit coins), smart contracts, etc. they should study this course.
The blockchain technology is one of the most promising upcoming technological trends in the IT domain. Apart from the financial sector, blockchain technology holds enormous opportunities across multiple application arenas. Healthcare and public-sector applications are expected to witness enormous growth in the years to come. To cater these segments of global market, the B.Tech with specialization in blockchain is essential.
What are the learning outcomes?
After completing this course students will be able:
To learn how the individual components of the Bitcoin protocol make the whole system works: transactions, script, blocks, and the peer-to-peer network
To familiarize with Ethereum, smart contracts and related technologies, and solidity language.
To understand how using Bitcoins works in practice different ways of storing Bitcoin keys, security measures, and various types of services that allow people to trade and transact with Bitcoins
To develop a technique/model to solve problems existing in the society and multi-disciplinary industries.
Specializations:
Blockchain Components and Architecture
Permission Blockchain- Ethereum
Blockchain Applications for Cognitive
Industry Use Cases using Blockchain
Emerging areas in Blockchain
Lab Infrastructure (if applicable):
Specialization Laboratories are:
Blockchain Components and Architecture Lab
Permission Blockchain-Ethereum Lab
Industry Use Cases using Blockchain Lab
Core Laboratories are:
Python Programming Lab
Data Structure Lab
Digital Electronics Lab
Object Oriented Programming Lab
Algorithm Design Lab
Computer Organization Lab
Data Base Management System Lab
Operating System Lab
Computer Network Lab
Software Engineering Lab
Artificial Intelligence and Machine Learning Lab
Internships/Project work
The internship is to be carried out at the end of 6th semester of study.
The candidates are selected for internship by a campus selection process.
Internship helps students to build field knowledge and to understand the flow of work in the industry.
Students have to complete “Avant – Garde Projects” from 1st Semester to 5th Semester to generate skills in engineering from the beginning of study.
Student also has to complete a major project at final year which leads to the partial fulfilment of the degree.
These processes of learning will enhance student’s motivation towards the course and career.
Some previous internship done by students are:
Indian Statistical Institute
Tata Steel
Centre for Development of Advanced Computing (CDAC)
BSNL
Scope Telecom
Kreeti technologies
Placement & Career Opportunities / Research Opportunities
The blockchain technology is one of the most promising upcoming technological trends in the IT domain.
Apart from the financial sector, blockchain technology holds enormous opportunities across multiple application arenas.
Healthcare and public-sector applications are expected to witness enormous growth in the years to come.
To cater these segments of global market, the B.Tech with specialization in blockchain is essential.
Engineering graduates with this specialization can place themselves as Bitcoin full-stack developer, Cryptocurrency analyst, etc.
After this course students can choose to study post-graduation in engineering/technology (M.E./M.TECH) or in management (MBA).
For better career opportunities and training Adamas University has Career Development Cell (CDC) who administer all placement and training related issue. Various seminars and lectures series are organized by CDC to update students about present technology, trend, markets, and opportunities.
Eligibility
60% Overall in 10+2, PCM required, rest as per AICTE
Online security and forensics are one of the most important aspect in current world. The demand for cyber security and digital forensics is expected to be driven by stringent government regulations and the increasing instances of cyberattacks on enterprises. Moreover, the massive use of Online Application, Mobile and IoT devices is expected to increase the demand for online security and digital forensics software during while at use. A four-year cyber security degree program focuses on the array of methods used to protect data and information systems. Course work combines criminal psychology, digital forensics and policy analysis to provide a complete perspective of IT security.
The demand of career in cyber security in rapidly increasing among the young ages. Those who want to pursue his/her career in cyber security and forensics either in industry or in research should definitely choose this course.
What are the learning outcomes?
After completing this course students are able:
To continue to utilize and enhance their engineering and security training to solve problems related to data and network security that are globally relevant and based on ethically sound principles.
To understand basic cryptographic algorithms, message and web authentication and security issues and to identify information system requirements for both of them such as client and server.
To understand the legal issues related to information security and resolve them.
To analyze and judge the security threats and suggest measure to prevent from possible attacks.
To identify the cyber-criminal through proper forensics study of cyber intrusion.
Specializations:
IT Application & Data Security
Information Security Governance
Hacking & Penetration Testing
Digital Forensics
Cyber Security & Forensics Laboratory
Lab Infrastructure (if applicable):
Specialization Laboratories:
IT Application & Data Security Lab
IT Security Lab
Hacking & Penetration Testing Lab
Core Laboratories are:
Python Programming Lab
Data Structure Lab
Digital Electronics Lab
Object Oriented Programming Lab
Algorithm Design Lab
Computer Organization Lab
Data Base Management System Lab
Operating System Lab
Computer Network Lab
Software Engineering Lab
Artificial Intelligence and Machine Learning Lab
Internships/Project work
The internship is to be carried out at the end of 6th semester of study.
The candidates are selected for internship by a campus selection process.
Internship helps students to build field knowledge and to understand the flow of work in the industry.
Students have to complete “Avant – Garde Projects” from 1st Semester to 5th Semester to generate skills in engineering from the beginning of study.
Student also has to complete a major project at final year which leads to the partial fulfilment of the degree.
These processes of learning will enhance student’s motivation towards the course and career.
Some previous internship done by students are:
Indian Statistical Institute
Tata Steel
Centre for Development of Advanced Computing (CDAC)
BSNL
Scope Telecom
Kreeti technologies
Placement & Career Opportunities / Research Opportunities
One of the most important and sought-after careers in current market.
There are hundreds of job titles in cyber security, but some of the top position includes Security Analyst, Security Architect, Security Software Developer, Cryptanalyst, Security Engineer, Security Administrator, Cryptographer, Security Consultant.
Besides, an engineering graduate in this program can choose to pursue post graduates studies such as Master of Engineering (M.E) or Master of Technology (M.Tech) or MBA.
Besides, engineering graduates in this spcialization has a very good research scope which leads to a doctoral degree (Ph.D.).
For better career opportunities and training Adamas University has Career Development Cell (CDC) who administer all placement and training related issue. Various seminars and lectures series are organized by CDC to update students about present technology, trend, markets, and opportunities.
Eligibility
60% Overall in 10+2, PCM required, rest as per AICTE
Computer science and engineering (CSE) is an academic program in many universities that integrates the fields of computer engineering and computer science. It is a sub-field of electronic engineering, covering only the digital aspects of electronics engineering, specializing in hardware-systems areas like computer architecture, processor design, high-performance computing, parallel processing, computer networks and embedded systems. CSE programs also include core subjects of computer science such as operating systems, theory of computation, design and analysis of algorithms, data structures and database systems.
The program aims at designing, developing and troubleshooting computing devices (such as personal computers, supercomputers, robots, smart phones, networking devices, embedded devices), focusing the underlying fundamental issues (like processor architecture design, operating system design, memory management, digital system design, communication protocol design, software development and database management) in the most efficient and effective way.
Computer science programs typically centers primarily around theory and software, with only some hardware; upper division courses tend to allow a lot of freedom to specialize in software and theory related areas (e.g. algorithms, artificial intelligence, cryptography/security, graphics/visualization, numerical and symbolic computing, operating systems/distributed processing, software engineering).
Who is the course for?
This course is for the candidates who are intended to establish their career in information technology or pursue research in the field of computing and related areas where computing is directly involved. As it is a diverse field and scattered to all fields of engineering, medical, pharmaceutical, biotechnology etc a student can specialize in Computer Science and Engineering and in any of the related areas.
The importance of this course in the wider discipline/area: Computer engineering programs tend to resemble computer science at the lower division with similar introductory programming and math courses, but diverges from computer science at the upper division with heavy electrical engineering requirements (e.g. digital and analog circuits, integrated circuit design, VLSI design and control systems). Despite the overlap with computer science at the lower division level, computer engineering skews much more heavily toward the electronics side that it has more in common with electrical engineering.
Computer Science and Engineering integrates all of the above and is intended to develop a solid understanding of the entire machine (computer hardware and software). The higher unit count required to complete the program often means that a CSE student will need to spend an extra year in university.
2. What are the learning outcomes?
The Learning Outcomes (LO) are designed in such a manner that at the end of the programme, the students passing degree from the department of Computer Science and Engineering will be able to:
• L.O.1: Understanding of theoretical foundations and limits of computing.
• L.O.2: Understanding of computing at different levels of abstraction including circuits and computer architecture, operating systems, algorithms and applications.
• L.O.3: Ability to adapt established models, techniques, algorithms, and data structures etc. for efficiently solving new problems.
• L.O.4: Ability to design, implements, and evaluate computer based system or application to meet the desired needs using modern tools and methodologies.
• L.O.5: Ability to function effectively in teams to accomplish a common goal.
• L.O. 6: An understanding of professional and ethical responsibility.
• L.O.7: Ability to communicate effectively with a wide range of audience.
• L.O.8: Ability to self-learn and engage in life-long learning too.
• L.O. 9: Understanding and ability to use advanced techniques and tools in different areas of computing.
• L.O. 10: Ability to undertake small research tasks and projects.
• L.O.11: Ability to take an idea and develop into a business plan for an entrepreneurial venture (if desired).
• L.O.12: An understanding of the impact of solutions in an economic, societal and environmental context.
• L.O.13: understand norms of professional and ethical behaviour in engineering practices.
• L.O.14: use new modern techniques and tools for application in the field of computer science and engineering.
3. Subjects covered:
• Data Structures and Algorithms
• Switching Circuits and Logic Design
• Formal Languages and Automata Theory
• Algorithms – II
• Object Oriented Programming
• Software Engineering
• Computer Architecture
• Compiler Design
• Database Management Systems
• Operating Systems
• Computer Networks
• Artificial Intelligence and Machine Learning
4. Lab Infrastructure
◦ Programming and Data Structure Lab
◦ Operating System and Computer Networks Lab
◦ Database Management System Lab
◦ Computer Architecture Lab
◦ Artificial Intelligence Lab
◦ Machine Learning Lab
◦ Cloud Computing and Virtualization Lab
◦ Data Science and Big Data Lab
◦ Network Security and Cryptography Lab
◦ Computer Center
5. Internships/Project work
Students have to approach for internship training starting from at the end of 4th Semester Examination of their study. Internship will prepare students in the way industries work. They will be able to learn the work culture in an industry which is very necessary to accustomed with.
Various institutes/organisations have already provided the internship to our students are:
6. Placement & Career Opportunities / Research Opportunities
It’s natural to perceive a computer science graduate as a programmer with coding skills. Programming is a primary skill that is taught to the students of this department by its star faculties. However, a CS degree teaches students to solve real-life problems. This can be done not only by working as a programmer but also as a designer, analyst, animator or a game developer. As a company that visits Adamas University to hire students, the following are the career options of students who have completed their computer science engineering courses:
i) Software Engineering:
Most CS graduates work under this title. Software engineers are professionals working to find out complex solutions to a number of applications in different sectors. They are not programmers. A software engineer creates the design that the programmer implements.
ii) Graphic Designing:
Graphic designers have an exciting job at hand, as they get to work on interesting projects, and enjoy flexible work options along with good salaries. Front-end Web Designing is one career path that computer designers can opt for.
iii) Software Testing:
A software testing takes the important responsibility of improving the quality of the application. A Tester or Quality Analyst essentially should have the knowledge of the entire software development life cycle.
iv) Information Security Professional:
Information Security is the dynamic field, not very old, but one of the most important from the future’s perspective. Expansion of knowledge in accordance with the latest industry trends is the most vital aspect of this job.
v) Mobile Application Developer:
Smartphones have become as commonplace as anything can be and with their rising use, there is a growing market of mobile apps. An entry-level professional in this field earns a median salary of INR 353,904 (PayScale). This, being a relatively new field, the growth opportunities are immense.
7. Placement Scenario
Following are the placement scenario of the current batch (CSE 4th year):
Anirban Saha (TCS)
Avik Das (Extramarks Education, Nerdy Turtlez etc.)
This course is designed with the growing demand of AI/ML in almost every industry which is compelling the employees across the globe to learn new skills. With this course an engineering graduate will gain skills of AI/ML concepts through various specialized subjects as the sub part of Artificial Intelligence. The demand for AI/ML specialization will continue to grow, which increases the value of Computer Science & Engineering with specialization in AI/ML degree.
A candidate who want to make a career in machine learning engineering or as a data scientist or data analyst or so s/he should study this course.
The global machine learning market was valued at $1.58B in 2017 and is expected to reach $20.83B in 2024, growing at a CAGR of 44.06% between 2017 and 2024. Projected to grow at a CAGR of 42.8% from 2018 to 2024, the global ML market will worth $30.6B in four years. So, this course is perfect for any aspirant who wants to study Computer Science and Engineering decorated with cutting edge technology and grow with current market demand.
2. What are the learning outcomes?
After completing this course students will be able:
Apply AI & ML techniques to a given business problem and utilize its benefits to formulate business problems into AI & ML problem.
Analyze any problem and provide solution through ML algorithm which leads to intelligent and adaptive solution.
Device/propose new ML model for a specific problem.
Demonstrate leadership in their respective careers in computer science engineering with specialization (Hons.) in AI/ML or interrelated areas of industry, government, academia, and research.
Continue to use and enhance their engineering skills to understand term that implies the use of a computer to model and/or replicate intelligent behaviour.
Engage in life-long learning by continuing their education in graduate or professional school or through opportunities for advanced career or professional training.
3.Specializations:
Algorithm for Intelligent System and Robot,
Application of machine learning in industries and Anomaly Detection
Data Analysis & Modelling Technique
Neural Network and Deep Learning Fundamentals
Overview of Recent Trends in AI/ML
4.Lab Infrastructure (if applicable):
The Specialization Laboratories are:
Algorithm for Intelligent System and Robot Lab
Application of machine learning in industries and Anomaly Detection Lab
Neural Network and Deep Learning Fundamentals Lab
Core Laboratories are:
Python Programming Lab
Data Structure Lab
Digital Electronics Lab
Object Oriented Programming Lab
Algorithm Design Lab
Computer Organization Lab
Data Base Management System Lab
Operating System Lab
Computer Network Lab
Software Engineering Lab
Artificial Intelligence and Machine Learning Lab
5.Internships/Project work
The internship is to be carried out at the end of 6th semester of study.
The candidates are selected for internship by a campus selection process.
Internship helps students to build field knowledge and to understand the flow of work in the industry.
Students have to complete “Avant – Garde Projects” from 1st Semester to 5th Semester to generate skills in engineering from the beginning of study.
Student also has to complete a major project at final year which leads to the partial fulfilment of the degree.
These processes of learning will enhance student’s motivation towards the course and career.
Some previous internship done by students are:
Indian Statistical Institute
Tata Steel
Centre for Development of Advanced Computing (CDAC)
BSNL
Scope Telecom
Kreeti technologies
6.Placement & Career Opportunities / Research Opportunities
One of the biggest scopes and opportunities in the market is AI/ML.
Specific growth areas cited in various reports included jobs of Data Scientist, Data Analyst, Data Architect, Machine Learning Engineer, Data Science Manager, etc.
In general engineering graduates with the degree in AI/ML have immense opportunities in the following industries: Smart Maintenance, Better Product Development, Predictive Analytics, Quality Improvement, Market Adaptations, Healthcare, Finance and Start-ups.
After this course students can choose to study post-graduation in engineering/technology (M.E./M.TECH) or in management (MBA).
Besides, engineering graduates in this spcialization has a very good research scope which leads to a doctoral degree (Ph.D.).
For better career opportunities and training Adamas University has Career Development Cell (CDC) who administer all placement and training related issue. Various seminars and lectures series are organized by CDC to update students about present technology, trend, markets, and opportunities.
7. Eligibility
60% Overall in 10+2, PCM required, rest as per AICTE
The primary objective of this course is to find out research challenges and technical gaps that exists between theory and practice in cryptocurrency domain. This course has another aspect which is to quickly configure a new development platform to understand the applications of blockchain in cybersecurity, the integrity of information, E-Governance and other contract enforcement mechanisms. This course will prepare students as competent engineers to analyse and provide economically feasible and socially acceptable solutions of real-life technical problems.
Students who has interest in blockchain, crypto-currency (bit coins), smart contracts, etc. they should study this course.
The blockchain technology is one of the most promising upcoming technological trends in the IT domain. Apart from the financial sector, blockchain technology holds enormous opportunities across multiple application arenas. Healthcare and public-sector applications are expected to witness enormous growth in the years to come. To cater these segments of global market, the B.Tech with specialization in blockchain is essential.
What are the learning outcomes?
After completing this course students will be able:
To learn how the individual components of the Bitcoin protocol make the whole system works: transactions, script, blocks, and the peer-to-peer network
To familiarize with Ethereum, smart contracts and related technologies, and solidity language.
To understand how using Bitcoins works in practice different ways of storing Bitcoin keys, security measures, and various types of services that allow people to trade and transact with Bitcoins
To develop a technique/model to solve problems existing in the society and multi-disciplinary industries.
Specializations:
Blockchain Components and Architecture
Permission Blockchain- Ethereum
Blockchain Applications for Cognitive
Industry Use Cases using Blockchain
Emerging areas in Blockchain
Lab Infrastructure (if applicable):
Specialization Laboratories are:
Blockchain Components and Architecture Lab
Permission Blockchain-Ethereum Lab
Industry Use Cases using Blockchain Lab
Core Laboratories are:
Python Programming Lab
Data Structure Lab
Digital Electronics Lab
Object Oriented Programming Lab
Algorithm Design Lab
Computer Organization Lab
Data Base Management System Lab
Operating System Lab
Computer Network Lab
Software Engineering Lab
Artificial Intelligence and Machine Learning Lab
Internships/Project work
The internship is to be carried out at the end of 6th semester of study.
The candidates are selected for internship by a campus selection process.
Internship helps students to build field knowledge and to understand the flow of work in the industry.
Students have to complete “Avant – Garde Projects” from 1st Semester to 5th Semester to generate skills in engineering from the beginning of study.
Student also has to complete a major project at final year which leads to the partial fulfilment of the degree.
These processes of learning will enhance student’s motivation towards the course and career.
Some previous internship done by students are:
Indian Statistical Institute
Tata Steel
Centre for Development of Advanced Computing (CDAC)
BSNL
Scope Telecom
Kreeti technologies
Placement & Career Opportunities / Research Opportunities
The blockchain technology is one of the most promising upcoming technological trends in the IT domain.
Apart from the financial sector, blockchain technology holds enormous opportunities across multiple application arenas.
Healthcare and public-sector applications are expected to witness enormous growth in the years to come.
To cater these segments of global market, the B.Tech with specialization in blockchain is essential.
Engineering graduates with this specialization can place themselves as Bitcoin full-stack developer, Cryptocurrency analyst, etc.
After this course students can choose to study post-graduation in engineering/technology (M.E./M.TECH) or in management (MBA).
For better career opportunities and training Adamas University has Career Development Cell (CDC) who administer all placement and training related issue. Various seminars and lectures series are organized by CDC to update students about present technology, trend, markets, and opportunities.
Eligibility
60% Overall in 10+2, PCM required, rest as per AICTE
Online security and forensics are one of the most important aspect in current world. The demand for cyber security and digital forensics is expected to be driven by stringent government regulations and the increasing instances of cyberattacks on enterprises. Moreover, the massive use of Online Application, Mobile and IoT devices is expected to increase the demand for online security and digital forensics software during while at use. A four-year cyber security degree program focuses on the array of methods used to protect data and information systems. Course work combines criminal psychology, digital forensics and policy analysis to provide a complete perspective of IT security.
The demand of career in cyber security in rapidly increasing among the young ages. Those who want to pursue his/her career in cyber security and forensics either in industry or in research should definitely choose this course.
What are the learning outcomes?
After completing this course students are able:
To continue to utilize and enhance their engineering and security training to solve problems related to data and network security that are globally relevant and based on ethically sound principles.
To understand basic cryptographic algorithms, message and web authentication and security issues and to identify information system requirements for both of them such as client and server.
To understand the legal issues related to information security and resolve them.
To analyze and judge the security threats and suggest measure to prevent from possible attacks.
To identify the cyber-criminal through proper forensics study of cyber intrusion.
Specializations:
IT Application & Data Security
Information Security Governance
Hacking & Penetration Testing
Digital Forensics
Cyber Security & Forensics Laboratory
Lab Infrastructure (if applicable):
Specialization Laboratories:
IT Application & Data Security Lab
IT Security Lab
Hacking & Penetration Testing Lab
Core Laboratories are:
Python Programming Lab
Data Structure Lab
Digital Electronics Lab
Object Oriented Programming Lab
Algorithm Design Lab
Computer Organization Lab
Data Base Management System Lab
Operating System Lab
Computer Network Lab
Software Engineering Lab
Artificial Intelligence and Machine Learning Lab
Internships/Project work
The internship is to be carried out at the end of 6th semester of study.
The candidates are selected for internship by a campus selection process.
Internship helps students to build field knowledge and to understand the flow of work in the industry.
Students have to complete “Avant – Garde Projects” from 1st Semester to 5th Semester to generate skills in engineering from the beginning of study.
Student also has to complete a major project at final year which leads to the partial fulfilment of the degree.
These processes of learning will enhance student’s motivation towards the course and career.
Some previous internship done by students are:
Indian Statistical Institute
Tata Steel
Centre for Development of Advanced Computing (CDAC)
BSNL
Scope Telecom
Kreeti technologies
Placement & Career Opportunities / Research Opportunities
One of the most important and sought-after careers in current market.
There are hundreds of job titles in cyber security, but some of the top position includes Security Analyst, Security Architect, Security Software Developer, Cryptanalyst, Security Engineer, Security Administrator, Cryptographer, Security Consultant.
Besides, an engineering graduate in this program can choose to pursue post graduates studies such as Master of Engineering (M.E) or Master of Technology (M.Tech) or MBA.
Besides, engineering graduates in this spcialization has a very good research scope which leads to a doctoral degree (Ph.D.).
For better career opportunities and training Adamas University has Career Development Cell (CDC) who administer all placement and training related issue. Various seminars and lectures series are organized by CDC to update students about present technology, trend, markets, and opportunities.
Eligibility
60% Overall in 10+2, PCM required, rest as per AICTE
