MSc Computer Science and Information Technology
Master of Science (M.Sc)
Computer Science and Information Technology
Overview
M.Sc in Computer Science and Information Technology is a future-focused, two-year postgraduate programme designed to address the evolving demands of the global digital economy. The curriculum blends strong theoretical foundations with intensive practical exposure across core computer science domains, including Software Engineering, Programming Languages, Operating Systems, Computer Networks, Distributed Systems, and Computer Security.
To enhance academic flexibility and career relevance, the programme offers a wide range of electives such as Cyber Security, Artificial Intelligence, Machine Learning, Advanced Software Engineering, Ethical Hacking, Cyber Forensics, Deep Learning, and Software Project Management. Through experiential learning, industry engagement, research exposure, and innovation-driven initiatives, students are equipped to transition seamlessly into advanced technical, research, or leadership roles.
Duration: 2 Years
No. of Credits: 87 Credits
Eligibility
A student who has passed a 3-year undergraduate degree (level 5.5, a total of 120 credits) shall be eligible for admission to 2-year M.Sc. programmes.
Preference will be given to candidates who have secured at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
NOTE: However, students who have not studied requisite courses from the discipline related to the respective programmes will have to undertake the prescribed bridge course(s).
Course Highlights
- Curriculum dedicated to experimental learning, peer learning, and hands-on activities at one of the leading MSc Computer Science and Information Technology colleges in Bangalore.
- Get an opportunity for industry visits and collaborations, workshops, value-added programmes, seminars, and research activities at one of the best MSc Computer Science colleges in India
- Learn about data management, networking, software, etc, in the MSc Computer Science syllabus
- Guidance from highly experienced faculty members who bring academic depth and industry insight into the classroom.
- Dedicated training in entrepreneurship to help students develop innovation skills, business thinking, and the confidence to create their own ventures.
- Nightlabs - Night Lab initiative was designed to extend learning beyond conventional classroom boundaries by providing students with an opportunity to engage in hands-on technical exploration after regular hours.
- 100DaysofCode - This connects social accountability with continuous learning. Students post daily learning milestones, creating a digital record of progress.
- IPCarnival - The IP Carnival bridges academic innovation with legal literacy.
- Product/Project Exhibition - Provides hands-on learning opportunities that turn knowledge into innovation.
- 6AMClub – Industry mentors will connect with students in the early morning.
- Pitch Day - Encourages creativity and innovation among students.
Study Campus
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
080 - 46501773,
+91 8951362413
Admissions Office
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
080 - 46501773,
+91 8951362413
Curriculum Structure
- Advanced Java Programming
- Advanced Computer Networks
- Data Structures
- Research Methodology – 1
- Essentials to Cyber Security / Artificial Intelligence / Software Engineering
- Open Elective – 1
- Employability Skill Training – 1 (Vedic Mathematics and Competitive Coding)
- Advanced Java Programming Lab
- Advanced Computer Networks Lab
- Data Structures Lab
- Transdisciplinary Project-Centric Learning – 1
- Python Programming
- Advanced Database Management Systems
- Blockchain
- Ethical Hacking / Machine Learning / Software Project Management
- Employability Skill Training – 2 (Quantitative Aptitude and Competitive Coding)
- Python Programming Lab
- Advanced DBMS Lab
- Ethical Hacking / Machine Learning / Software Project Management Lab
- Research Methodology – 2
- Transdisciplinary Project-Centric Learning – 1
- Analysis and Design of Algorithms
- Cloud Computing
- Statistics and Data Analytics
- Cyber Forensics / Natural Language Processing / Agile Software Development Approaches
- Employability Skill Training – 3
- Open Elective – 2
- Analysis and Design of Algorithms Lab
- Statistics and Data Analytics Lab
- Summer Internship / Capstone Project
- Transdisciplinary Project-Centric Learning – 2
- Professional Ethics and Values in Computer Science
- Internet of Things
- Cyber Law / Deep Learning / Software Quality Assurance and Testing
- Project / Internship
- Transdisciplinary Project-Centric Learning – 2
Career Outcomes
Graduates of the Master of Science in Computer Science & Information Technology are well-prepared for diverse and evolving professional pathways, including:
Core Computing and Software Systems Practice
Graduates design, build, and optimise reliable software systems that support digital infrastructure. They use strong foundations in algorithms, programming, operating systems, databases, and networks to deliver scalable, secure, and efficient solutions. They turn real-world needs into dependable systems while upholding professional standards, quality assurance, and ethics.
Data, Intelligence, and Emerging Digital Technologies
Graduates work with data-driven, intelligent systems to find insights, automate tasks, and aid decision-making. By applying data analytics, machine learning, AI, cloud computing, and cybersecurity, they help develop adaptive technologies for complex challenges. Their work balances innovation with responsible data use, privacy, and algorithmic accountability.
Industry-Focused Technology and Applied Innovation
Graduates connect technology and practice to solve industry problems. They join multidisciplinary teams to deliver solutions in finance, healthcare, manufacturing, governance, and smart systems. Emphasis is on communication, project management, agility, and adapting expertise to changing contexts.
Research, Advanced Study, and Knowledge Creation
Graduates are ready for research roles advancing computing. With skills in research methods, analysis, and communication, they shape problems, experiment, and apply evidence-based inquiry. This prepares them for doctoral study, academia, or industry research, where critical thinking and innovation drive progress.
Entrepreneurship, Leadership, and Technology-Driven Enterprise
Graduates can design and scale technology ventures. Using technical skills, innovation, and entrepreneurship, they create start-ups, lead products, or guide strategy in technology enterprises. This pathway stresses ethical leadership, sustainable innovation, and adaptation in changing digital ecosystems.
Together, these pathways create adaptable professionals who keep pace with change, use computing responsibly, and contribute across industry, research, and society throughout their careers.
Career Enhancement
Students enrolled in an MSc in Computer Science & IT typically gain access to several add-on programmes designed to strengthen employability:
Technical Skill-Building Workshops
- Advanced programming (Python, Java, C++)
- Full-Stack development
- Data visualisation tools (Power BI, Tableau)
- Software testing & automation (Selenium)
Soft Skill & Professional Development
- Communication and presentation skills
- Interview and résumé writing masterclasses
- Leadership and team-management workshops
- Networking events with industry professionals
Internships & Industrial Training
- 3–6 month internships
- Hackathons and coding competitions
- Exposure to Agile and Scrum-based work environments
Research & Innovation Support
- Access to research labs and innovation centres through collaborations
- Guidance for publishing research papers
- Support for patents and prototype development
- Participation in conferences and technical symposiums
FAQ's
What is the eligibility criteria for an MSc in Computer Science & IT?
Typically, a bachelor’s degree in Computer Science, IT, Engineering, or a related field with the required minimum percentage or GPA.
What is the duration of the programme?
2-year full-time.
Do I need strong programming skills before joining?
Basic programming knowledge is helpful, but many programmes provide foundational modules in the first semester to get students up to speed.
Are internships mandatory?
Many institutions require an internship or project-based training, as it contributes to practical exposure and enhances employability.
What are the job opportunities after completing the degree?
Graduates can work in software development, data science, cybersecurity, AI/ML, networking, cloud computing, research, and several other IT specialisations.