| Award | Duration | Study Mode |
|---|---|---|
| BS-MS Dual Degree in Information Technology |
5 (3 + 1 + 1) Years | Full Time (residential for BS) |
| Intake | Selection Process | Program Starts |
|---|---|---|
| 120 | Multiple Channels | Yearly in July/ August |
- displayNone About the Programme
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- displayNone Curriculum Details
- displayNone Career Outcomes
- displayNone Entry Requirements
- displayNone Fees & Scholarships
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Information Technology is the foundation of today’s digital world — powering financial systems, cloud platforms, e-commerce, healthcare infrastructure, cybersecurity, artificial intelligence, and global digital services. Organisations require professionals who can not only write software, but also design, deploy, secure, and manage large-scale technology systems
Many traditional programmes focus primarily on programming or theoretical computing, with limited exposure to real-world system deployment, cloud infrastructure, security, and modern engineering workflows. Few offer an integrated pathway that develops complete technology professionals with both strong foundations and hands-on expertise.
This programme addresses that need through:
Strong Computing and Engineering Foundations — Deep knowledge of programming, data structures, databases, operating systems, networks, and system design that underpin all modern technology systems.
Modern, Industry-Aligned Technology Skills — Practical expertise in full-stack development, cloud computing, DevOps, cybersecurity, distributed systems, and AI-enabled development workflows.
Hands-On, Real-World System Building — Continuous project-based learning, internships, and applied engineering experience using modern tools and deployment environments.
Integrated, Future-Ready Learning Pathway — A seamless five-year programme with flexible exit options, advanced specialization, and preparation for evolving technology careers.
This integrated programme bridges the gap between academic learning and real-world engineering, preparing students to build, operate, and lead modern digital systems.
Information Technology: What Does It Include?
Information Technology focuses on the design, development, deployment, and management of software and digital systems that power modern organisations.
It includes areas such as:
- Software and application development (using Gen AI tools)
- Cloud computing and distributed systems
- Cybersecurity and secure system design
- Databases and information management
- Networks and digital infrastructure
- DevOps, automation, and system operations
This programme prepares students to work across the complete lifecycle of technology systems — from development to deployment and operation.
This programme is designed for students who:
- Are interested in technology, computing, and building software and digital systems.
- Want to understand how modern applications, cloud platforms, and digital infrastructure work.
- Aspire to careers in software engineering, cloud computing, cybersecurity, or related technology fields.
- Enjoy problem-solving, logical thinking, and hands-on learning.
- Prefer a structured, long-term pathway that builds expertise progressively from foundations to advanced specialization.
The programme is suitable for students who aim to develop both strong technical depth and practical engineering capability.
The BS–MS Dual Degree in Information Technology is a comprehensive five-year programme that builds expertise across the full spectrum of modern computing systems—from strong foundations in programming and core IT systems to advanced cloud platforms, cybersecurity, and scalable enterprise technologies.
Progressive Learning Path
The programme follows a structured progression that develops students from foundational computing knowledge to advanced system design, specialization, and industry readiness.
Year 1 – Computing and Programming Foundations
Students build strong foundations in programming, data structures, mathematics, digital systems, and web technologies, along with communication skills. This year develops computational thinking and prepares students for advanced IT learning.
Year 2 – Systems, Algorithms, and Full-Stack Development
Students deepen their understanding of algorithms, operating systems, databases, computer networks, and full-stack application development. They also learn system programming, design thinking, and economic principles relevant to technology systems.
Year 3 – Software Engineering, Cloud, and Intelligent Systems
Students learn software engineering, system design, cloud computing foundations, distributed systems, and secure coding, along with machine learning fundamentals. This phase includes an applied project and industry internship, enabling students to build deployable, real-world systems.
Year 4 – Enterprise Systems, Cloud Platforms, and Advanced Technologies
Students focus on enterprise software, cloud architecture, DevOps practices, cybersecurity, applied AI, and domain-specific technologies. They design and implement enterprise-grade solutions and participate in large-scale innovation projects.
Year 5 – Specialization, Innovation, and Industry Immersion
Students complete advanced electives, a major project, and a full-semester internship or research thesis. This final phase develops deep technical expertise, specialization, and professional readiness for advanced industry roles or further research.
This progression ensures continuous development from foundational knowledge to advanced system design, specialization, and professional competence.
Beyond Technical Training
Technology professionals must also understand users, organizations, and real-world contexts. The programme integrates learning in::
- Communication and professional skills
- Ethics and responsible technology development
- Product thinking and user-centered design
- Innovation, entrepreneurship, and project management
This prepares students to work effectively in professional and multidisciplinary environments.
Experiential and Applied Learning
Practical experience is central to the programme. Students gain hands-on experience through::
- Laboratory-based technical courses
- Real-world software and system development projects
- Industry internships and applied training
- Capstone engineering projects
- Collaborative and project-based learning environments
Students graduate with experience in building and deploying real systems using modern technologies.
The program follows a multi-exit framework aligned with the National Education Policy (NEP 2020), providing academic flexibility and lifelong learning opportunities:
- After 3 Years – B.Sc. (Bachelor of Science) in Information Technology
Strong foundations in programming, data structures and algorithms, databases, operating systems, computer networks, and full-stack development, along with hands-on projects and practical system-building experience. - After 4 Years – BS (Bachelor of Science – Honours) in Information Technology
Advanced expertise in software engineering, cloud computing, distributed systems, cybersecurity, DevOps practices, and enterprise application development, with deeper specialization and large-scale project experience. - After 5 Years – MS (Master of Science) in Information Technology
Advanced specialization in modern IT domains such as cloud platforms, enterprise systems, secure and scalable architectures, and AI-enabled software systems, completed through a major project, industry internship, or research thesis.
This multi-exit structure provides flexibility while maintaining academic depth and continuity, enabling students to pursue professional careers, advanced specialization, entrepreneurship, or higher studies based on their goals.
Programme Credit Framework
The BS–MS Dual Degree in Information Technology is a 200-credit programme designed to provide a balanced combination of strong theoretical foundations, hands-on technical training, and extensive experiential learning. The curriculum ensures depth in core computing while allowing flexibility through specialization, electives, projects, and internships.
Core Curriculum Distribution – 111 Credits (55.5%)
The core curriculum provides strong foundations in computing, systems, and professional skills essential for modern Information Technology careers.
- Information Technology – 42%
Programming, data structures and algorithms, databases, operating systems, computer networks, software engineering, cloud computing, distributed systems, and enterprise application development. - Mathematics – 6%
Discrete mathematics, linear algebra, probability, and statistical methods that support computational thinking, system design, and intelligent systems. - Humanities and Social Sciences – 6%
Communication, economics, environmental studies, and professional skills that prepare students to work effectively in organizational and societal contexts. - Design – 1.5%
Design thinking and user-centered approaches for building effective, scalable, and user-friendly technology solutions.
This balanced foundation ensures graduates develop strong technical competence, analytical thinking, and professional readiness.
Elective and Applied Components – 89 Credits (44.5%)
Students progressively specialize and gain real-world experience through electives, projects, and industry immersion.
- Track Electives (Specialization) – 14%
Advanced courses in Software Engineering, Cloud and DevOps, Cybersecurity, and Data and AI Systems, enabling students to build expertise aligned with career pathways. - Projects, Seminar, and Industry Internship – 20.5%
Applied projects, capstone work, and a full-semester internship or thesis that provide hands-on experience in designing, building, and deploying real-world systems. - Open Electives – 3%
Courses from other domains such as entrepreneurship, innovation, and technology management, supporting interdisciplinary learning. - Online Open Electives – 4.5%
Curated external courses in emerging technologies, allowing students to learn from leading global platforms and institutions. - Co-Curricular and Professional Development – 2.5%
Technical activities, innovation projects, and professional engagement that support practical skill development and career readiness.
This structure ensures students develop deep technical expertise while gaining the flexibility, specialization, and real-world experience needed for modern IT careers.
Specialization Through Track Electives
Students develop advanced expertise through structured specialization pathways aligned with major industry roles. Each track enables students to build deep technical knowledge and professional identity in their chosen domain.
- Administration and Operations (Cloud, Infrastructure, and DevOps)
- Focuses on cloud platforms, infrastructure management, system administration, automation, and DevOps practices.
- Career pathways: Cloud Engineer, DevOps Engineer, Site Reliability Engineer, Infrastructure Engineer.
- Software Engineering and Development
- Focuses on scalable application development, software architecture, microservices, enterprise systems, and modern development frameworks.
- Career pathways: Software Engineer, Full-Stack Developer, Platform Engineer, Software Architect.
- Security and Cybersecurity
- Focuses on secure system design, network security, cryptography, threat analysis, and cybersecurity engineering.
- Career pathways: Cybersecurity Analyst, Security Engineer, Security Consultant, Application Security Engineer.
- Data Analysis and AI Systems
- Focuses on data engineering, machine learning, applied AI, data visualization, and intelligent system development.
- Career pathways: Data Engineer, AI-enabled Application Engineer, Machine Learning Engineer, Analytics Engineer.
This structured specialization ensures graduates develop both broad IT competence and deep expertise aligned with modern industry needs.
Semester-wise Courses
| Computing and Programming Foundations: Core CS fundamentals + problem-solving orientation | |||
| Semester | Course Category | Course Title | Credits (L-T-P) |
| Sem 1 | Program Core (IT) | Introduction to Programming (C) | 4 (3-0-2) |
| Sem 1 | Program Core (Maths) | Discrete Mathematics | 4 (3-1-0) |
| Sem 1 | Program Core (IT) | Digital Logic & Computer Organization | 4 (3-0-2) |
| Sem 1 | Program Core (HSS) | Language and Communication | 3 (3-0-0) |
| Sem 1 | Program Core (IT) | Computational Thinking and Problem Solving | 3 (3-0-0) |
| 18 (15-1-4) | |||
| Sem 2 | Program Core (IT) | Object-Oriented Programming (Java) | 4 (3-0-2) |
| Sem 2 | Program Core (IT) | Data Structures | 4 (3-0-2) |
| Sem 2 | Program Core (IT) | Web Programming (Front-End) | 4 (3-0-2) |
| Sem 2 | Program Core (Maths) | Linear Algebra | 4 (3-1-0) |
| Sem 2 | Program Core (Design) | Design Thinking for IT Professionals | 3 (2-0-2) |
|
|
19 (14-1-8) | ||
| Systems, Algorithms & the Web Stack: Deeper systems + scalable web & backend thinking | |||
| Semester | Course Category | Course Title | Credits (L-T-P) |
| Sem 3 | Program Core (IT) | Design & Analysis of Algorithms | 4 (3-0-2) |
| Sem 3 | Program Core (Maths) | Probability and Statistics | 4 (3-1-0) |
| Sem 3 | Program Core (IT) | Operating Systems | 4 (3-0-2) |
| Sem 3 | Program Core (IT) | Full Stack Development | 4 (3-0-2) |
| Sem 3 | Program Core (HSS) | The Art of Telling | 3 (3-0-0) |
| 19 (15-1-6) | |||
| Sem 4 | Program Core (IT) | Database Management Systems | 4 (3-0-2) |
| Sem 4 | Program Core (IT) | System Programming | 4 (3-0-2) |
| Sem 4 | Program Core (IT) | Computer Networks | 4 (3-0-2) |
| Sem 4 | Program Core (HSS) | Principles of Economics | 3 (3-0-0) |
| Sem 4 | Track Elective 1 | 4 (3-0-2) | |
| Administration & Operations | Advanced Databases (NoSQL, VDB, Graphs, Dist DB) | ||
| Security | IT Security Fundamentals (incl Cybersecurity) | ||
| Data Analysis/ AI | Statistical Methods | ||
| Software Engineering & Development | Advanced Databases (NoSQL, VDB, Graphs, Dist DB) | ||
| 19 (15-0-8) | |||
| Engineering Software & Intelligent Systems: Modern SE + AI/ML exposure within software context | |||
| Semester | Course Category | Course Title | Credits (L-T-P) |
| Sem 5 | Program Core (IT) | Fundamentals of Machine Learning | 4 (3-0-2) |
| Sem 5 | Program Core (IT) | Cloud Computing Foundations | 4 (3-0-2) |
| Sem 5 | Program Core (IT) | Software Engineering | 4 (3-0-2) |
| Sem 5 | Program Core (HSS) | Environmental Studies | 3 (3-0-0) |
| Sem 5 | Track Elective 2 | 4 (3-0-2) | |
| Administration & Operations | Big-Data Processing & Management | ||
| Security | Web Application Security | ||
| Data Analysis/ AI | Interactive Data Visualization | ||
| Software Engineering & Development | Mobile and Cross-Platform Application Development | ||
| 19 (15-0-8) | |||
| Sem 6 | Program Core (IT) | Parallel and Distributed Systems | 4 (3-0-2) |
| Sem 6 | Program Core (IT) | System Design and Testing | 4 (3-0-2) |
| Sem 6 | Program Core (IT) | Secure Coding and Trustworthy Systems | 3 (2-1-0) |
| Sem 6 | Track Elective 3 | 4 (3-0-2) | |
| Administration & Operations | System Administration/Network Administration | ||
| Security | Network, Cloud & System Security (incl. Hack Prevention) | ||
| Data Analysis/ AI | Deep Learning | ||
| Software Engineering & Development | Web Services & Microservice Architectures (SOA) | ||
| Sem 6 | Applied Project | B.Sc. Exit / Applied Project | 3 (0-0-6) |
| 19 (12-1-12) | |||
| Industrial Summer Internship (4 Cr) | 4 (0-0-8) | ||
| Enterprise, Cloud & Platform Technologies: Large-scale architectures + DevOps + platformization | |||
| Semester | Course Category | Course Title | Credits (L-T-P) |
| Sem 7 | Program Core (IT) | Enterprise Systems (ERP/CRM etc) | 4 (3-0-2) |
| Sem 7 | Program Core (IT) | Project Management | 3 (3-0-0) |
| Sem 7 | Track Elective 4 | 4 (3-0-2) | |
| Administration & Operations | Cloud Operations & Orchestration (AWS/Azure/GCP tools) | ||
| Security | Security Testing, Analysis & Forensics (Digital + Network) | ||
| Data Analysis/ AI | Domain & Applied Analytics (Computer Vision / NLP Applications)/ Federated Learning | ||
| Software Engineering & Development | Advanced Software Architecture (Design Patterns & Scalability) | ||
| Sem 7 | Open Elective 1 | Data and Culture | 3 (3-0-0) |
| Indian Knowledge System | |||
| or any other 3 Credit Course | |||
| Sem 7 | Domain Elective I | Business Automation/ Markering/ Healthcare | 1 (1-0-0) |
| Project | 2 (0-0-4) | ||
| 17 (13-0-8) | |||
| Sem 8 | Program Core (IT) | Enterprise Application Development | 4 (3-0-2) |
| Sem 8 | Program Core (IT) | Emerging Technologies | 3 (3-0-0) |
| Sem 8 | Track Elective 5 | 4 (3-0-2) | |
| Administration & Operations | IT Operations, DevOps & SRE (Monitoring, CI/CD, Automation)/ Machine Learning Operations | ||
| Security | Blockchain and Cryptography | ||
| Data Analysis/ AI | Machine Learning Operations | ||
| Software Engineering & Development | Gen AI for Software Engineering | ||
| Sem 8 | Open Elective 2 | Technology Entrepreneurship and Innovation | 3 (3-0-0) |
| Innovation Management and Design Thinking | |||
| Organizational Economics | |||
| Sem 8 | Domain Elective 2 | Manufacturing/ Finance/ Environment | 1 (1-0-0) |
| Project | 2 (0-0-4) | ||
| Grand Innovation Showcase (GIS): Showcase of Project 1 through a demonstration or poster to communicate the innovation to the general public | 17 (13-0-8) | ||
| Innovation, Specialization & Industry Immersion: Capstone, research, advanced electives, product thinking | |||
| Semester | Course Category | Course Title | Credits (L-T-P) |
| Sem 9 | Track Elective 6 | 4 (3-0-2) | |
| Administration & Operations | Configuration & Virtualization Management (Ansible, Docker, Kubernetes, Puppet, Chef) | ||
| Security | AI & ML Security | ||
| Data Analysis/ AI | AI Systems Engineering/ AI & ML Security | ||
| Software Engineering & Development | High Performance Computing | ||
| Sem 9 | Track Elective 7 | 4 (3-0-2) | |
| Administration & Operations | Monitoring & Observability + Terraform/ IaC | ||
| Security | Governance, Risk & Compliance in Security | ||
| Data Analysis/ AI | Reinforcement Learning | ||
| Software Engineering & Development | Big-Data and Datawarehousing, Datalakes | ||
| Sem 9 | Open Elective 3 | Startup Strategy and Growth Management | 3 (3-0-0) |
| Managing Technology and Product Innovation | |||
| Business Law and Entrepreneurship | |||
| Sem 9 | Capstone Seminar | Industrial Research Case Studies/ Kaggle Challenges/ Paper Presentations | 2 (2-0-0) |
| Sem 9 | Major Project | Major Project | 4 (0-0-8) |
| 17 (11-0-12) | |||
| Sem 10 | Internship/ Thesis | Industry Internship/ Thesis | 18 (0-0-36) |
| Co-Curricular Activities (5 Cr --> 75 Hrs.) | 5 Cr | ||
| Students must complete three online open electives (9 Cr). They are required to earn at least one such course (3 Cr) within the first three years and at least two (6 Cr) within the first four years. Each course is expected to include a minimum of 24 hours of instruction. | 3x 3(3-0-0) = 9 | ||
| Total Program Credits | 200 Credits | ||
The BS–MS Dual Degree in Information Technology prepares graduates for impactful careers across software engineering, cloud computing, cybersecurity, enterprise systems, and emerging digital technologies. With strong foundations in computing, system design, cloud platforms, and modern development practices, graduates are equipped to build, deploy, and manage scalable and secure technology systems across industries.
Industry and Corporate Sector
Graduates contribute to building and managing digital platforms, enterprise systems, and cloud-based infrastructure across sectors such as Technology and Digital Platforms, Finance and FinTech, Healthcare, E-commerce, Telecommunications, Manufacturing, and Consulting.
- Software Engineer / Full-Stack Developer
- Cloud Engineer / DevOps Engineer
- Backend or Frontend Engineer
- Site Reliability Engineer (SRE)
- Enterprise Systems Consultant (ERP/CRM)
- QA Automation Engineer / Systems Engineer
These roles focus on designing, developing, deploying, and maintaining modern applications and scalable digital systems.
Cloud, Infrastructure, and Cybersecurity
With expertise in cloud computing, infrastructure, and secure system design, graduates are prepared to support and protect modern digital environments.
- Cloud Solutions Architect
- Infrastructure Engineer / Platform Engineer
- Cybersecurity Analyst / Security Engineer
- Network and Systems Engineer
- Security Operations and Risk Analyst
These professionals build and secure the infrastructure that powers digital organizations.
AI-Enabled Systems and Emerging Technologies
Graduates develop the ability to integrate data-driven and intelligent capabilities into software systems and digital platforms.
- Applied Machine Learning Engineer
- AI-Augmented Software Engineer
- Automation and Intelligent Systems Developer
- Data and Platform Engineer
These roles focus on building intelligent, scalable, and future-ready technology systems.
Research and Higher Studies
The programme provides strong preparation for advanced academic and research pathways. Graduates may:
- Pursue a Ph.D. in Computer Science, Information Technology, Cloud Computing, Cybersecurity, or related fields
- Join research labs and technology innovation centers
- Contribute to research in distributed systems, secure computing, and scalable digital platforms
The integrated five-year structure ensures readiness for advanced research and global academic opportunities.
Entrepreneurship and Innovation
With exposure to software engineering, cloud platforms, enterprise systems, and technology innovation, graduates may:
- Build software products and digital platforms
- Launch startups in cloud services, SaaS, and enterprise technology
- Create technology consulting or digital transformation ventures
- Develop innovative solutions for industry and society
The programme supports innovation through applied projects, internships, and entrepreneurship-oriented learning.
Technology Leadership and Consulting
Graduates are also prepared for roles that bridge technology, business, and organizational transformation.
- Technical Product Manager
- Technology Consultant
- IT Business Analyst
- Digital Transformation Specialist
- Technology Project Manager
Graduates help organizations adopt and implement modern technology solutions effectively.
Graduates of this programme emerge as versatile technology professionals capable of building modern software systems, managing digital infrastructure, and contributing to innovation across global technology ecosystems.
The Institute reserves the right to modify procedural aspects, cut-offs, and seat allocation ceilings prior to commencement of the admission cycle, in compliance with applicable regulatory norms.
1. Eligibility Criteria
- The candidate must have completed (or be appearing in) Class XII (or equivalent) with Mathematics as a compulsory subject with a minimum aggregate of 60% or its equivalent.
- All admissions are provisional until documents are successfully verified.
2. Seat Allocation Framework
Admissions shall be conducted through the following channels. The percentages indicated represent maximum ceilings. The actual number of seats filled under a channel may vary depending on the applicant pool and merit.
2.1 DAU Entrance Test — Maximum 30% of Approved Intake
- Admission based on performance in the Institute’s Entrance Test.
- Merit list prepared based on normalised test scores.
- Cut-offs shall be determined annually by the Admission Committee.
2.2 National-Level Entrance Examinations — Maximum 60% of Approved Intake
Admission based on the Mathematics percentile obtained in:
- Joint Entrance Examination – Main (JEE Main), or
- Common University Entrance Test (CUET).
Detailed business rules governing this channel are provided in Appendix A.
2.3 Direct Admission Category — Maximum 5% of Approved Intake
Eligible candidates may be considered under this category if they satisfy any one of the following criteria. The total number of seats is divided equally between the two sub-channels under this category. However, the institute reserves the right to fill any unfilled seat with any other channel or sub-channel.
(A) Exceptional Board Performance
- ≥ 99.5 percentile (or equivalent as determined by the Institute) in the qualifying Board examination.
(B) Recognised Olympiad Achievements (within the last four years)
- Qualified for IMOTC / EGMOTC, or
- Qualified for IOITC, or
- Awarded Gold or Silver Medal at the Indian National Olympiad in Informatics (INOI).
All claims must be supported by verifiable documentary proof. The Admission Committee reserves the right to validate credentials.
2.4 International / NRI Category — Maximum 5% of Approved Intake
International and NRI candidates may apply based on:
- SAT or ACT scores, or
- JEE Main Mathematics percentile.
Unfilled seats under this category may be converted to domestic seats.
3. Inter-Category Reallocation and Additional Evaluation
The percentage allocations specified under each admission channel represent the maximum permissible intake and do not guarantee that all such seats shall be filled.
The Institute reserves the right to:
- Fill fewer seats in any admission category or sub-category.
- Reallocate unfilled seats across categories or sub-categories based on merit, seat availability, and institutional requirements.
- Conduct an interview or additional evaluation process for shortlisted candidates if seats remain unfilled after the initial merit-based rounds.
Where an interview or additional evaluation is conducted:
- Candidates may be shortlisted based on merit from among those who were not offered admission in earlier rounds.
- Interview performance may serve as a qualifying criterion and/or as a tie-breaking mechanism.
- The evaluation process and criteria shall be determined and approved by the Admission Committee prior to implementation.
Notwithstanding the above, the Institute reserves the right to leave any seat vacant if suitable candidates are not available or if filling such seats is not deemed appropriate by the Admission Committee.
Appendix A
This Appendix specifies the business rules applicable to admissions under the National-Level Entrance Examinations Channel for the Academic Year 2026–27.
A1. Eligible National Examinations
Admission under this channel shall be based on performance in one or more of the following:
- Joint Entrance Examination – Main 2026
- Common University Entrance Test (UG) 2026 (Mathematics and English)
- Joint Entrance Examination – Main 2025
- Common University Entrance Test (UG) 2025 (Mathematics and English)
A2. Application Requirements
- Candidates must provide valid application number(s) for one or more eligible examinations.
- Only scores declared and available on or before 10 July 2026 shall be considered.
- Candidates shall be considered for ranking if:
- At least one valid score is available by the deadline, and
- At least one available score exceeds the prescribed minimum cutoff.
If no valid percentile score is available by the deadline, the candidate shall not be ranked under this channel.
A3. Seat Allocation Principles
Seats shall be allocated considering:
- Position in the Merit List.
- Availability of seats at different admission channels.
- Other approved business rules.
A4. Merit List Preparation
A4.1 Composite Score (Q)
For each candidate: Q = Maximum of available Mathematics percentiles from:
- JEE Main 2026
- CUET (UG) 2026
- JEE Main 2025
- CUET (UG) 2025
If none is available, Q is invalid, and the candidate shall not be ranked.
A4.2 Tie-Breaking Rules
If two or more candidates have identical Q:
First Tie-Breaker (T1)
- If Q corresponds to JEE Main 2026 Mathematics percentile →
T1 = JEE Main 2026 Total Percentile. - If Q corresponds to CUET (UG) 2026 Mathematics percentile →
T1 = CUET (UG) 2026 English Percentile. - If Q corresponds to JEE Main 2025 Mathematics percentile →
T1 = JEE Main 2025 Total Percentile. - If Q corresponds to CUET (UG) 2025 Mathematics percentile →
T1 = CUET (UG) 2025 English Percentile.
Higher T1 ranks higher.
Second Tie-Breaker (T2)
If Q and T1 are identical:
- T2 = Age in days as on 31 May 2026.
- Lower T2 (younger candidate) ranks higher.
A5. Final Ranking Order
Candidates shall be ranked in descending order of:
- Q
- T1
- T2
A6. Cut-Offs and Validity
- Minimum qualifying percentile shall be determined by the Admission Committee.
- Meeting the cutoff does not guarantee admission.
- Official scorecards shall prevail in case of discrepancy.
The Institute reserves the right to interpret and apply these rules in case of ambiguity. Decisions of the Admission Committee shall be final and binding.
For Domestic Students
At the time of counselling, an amount of Rs. 1,75,000 (Rs. 1,50,000/- towards Tuition Fee for the First Semester and Rs. 25,000/- towards a Caution Deposit) - The registration fee is payable at the time of registration and hostel rent on allotment of the hostel room.
| Tuition fee | Rs. 3,00,000/- per annum (i.e., Rs. 1,50,000/- per semester). |
| Registration Fee | Rs. 2,500 per Semester (including summer semester) |
| Caution Deposit | Rs. 25,000 (Refundable at the end of the program) |
| Hostel Rent | To be updated |
| Food | To be updated |
- Subject to revision every Academic Year from 8 to 10%.
For International / NRI Students
At the time of counselling, an amount of USD 7,000 (USD 6,000/- towards Tuition Fee for the First Semester and USD 1,000/- towards a Caution Deposit) - The registration fee is payable at the time of registration and hostel rent on allotment of the hostel room.
| Tuition fee | USD 12,000/- per annum (i.e., USD 6,000/- per semester). |
| Registration Fee | USD 100 per Semester (including summer semester) |
| Caution Deposit | USD 1,000 (Refundable at the end of the program) |
| Hostel Rent | To be updated |
| Food | To be updated |
- Subject to revision every Academic Year from 8 to 10%.
Education Loan
The Institute will facilitate students in availing educational loans from selected Banks. Bank officials will be on campus at the time of registration for admitted students to provide details on the loan procedures and terms and conditions. The students can also avail a loan from banks of their choice, and in either case, the Institute will extend support in completing the loan documentation process.
Refund Policy
The refund policy for the withdrawing candidates will be in accordance with the UGC rules.
Scholarships/ Fellowships
To be updated.
1. What is the BS–MS Dual Degree in Information Technology?
It is a five-year dual degree programme that provides strong foundations in computing, software engineering, cloud computing, cybersecurity, and modern digital systems. Students progressively build expertise from programming and core systems to advanced technologies and industry practice.
2. What degrees will students receive?
The programme offers structured exit options:
- After 3 years – Bachelor of Science (B.Sc.) in Information Technology
- After 4 years – Bachelor of Science Honours (BS) in Information Technology
- After 5 years – Master of Science (MS) in Information Technology
Students who continue to the fifth year will be awarded two degrees: Bachelor of Science Honours (BS) and Master of Science (MS) in Information Technology.
3. What is the duration of the programme?
The full programme duration is five years (10 semesters).
4. What is the intake for the programme?
The programme admits approximately 120 students each year.
5. What will students learn in this programme?
Students learn core computing concepts, including programming, data structures, algorithms, databases, operating systems, and networks. The programme also includes modern technologies such as cloud computing, DevOps, cybersecurity, distributed systems, and AI-enabled software development.
6. Does the programme include practical or project-based learning?
Yes. The curriculum includes laboratory courses, applied projects, industry internships, and a final-year major project or thesis. Students graduate with hands-on experience in building real-world systems.
7. Are there specialisation options?
Yes. Students can pursue advanced courses in areas such as:
- Software Engineering and Application Development
- Cloud Computing and DevOps
- Cybersecurity and Secure Systems
- Data and AI Systems
These tracks allow students to develop expertise aligned with career interests.
8. Does the programme include internships?
Yes. Students complete an industry internship, typically after the third year, and a full-semester internship or thesis in the final year.
9. What career opportunities are available after graduation?
Graduates can pursue careers such as:
- Software Engineer / Full-Stack Developer
- Cloud Engineer / DevOps Engineer
- Cybersecurity Analyst / Security Engineer
- Platform or Infrastructure Engineer
- Data or AI Application Engineer
- Technology Consultant or Product Engineer
These roles exist across industries, including technology, finance, healthcare, e-commerce, and consulting.
10. Can students pursue higher studies after this programme?
Yes. Graduates can pursue a Ph.D. in Computer Science, Information Technology, Cloud Computing, Cybersecurity, and related areas.
11. Does the programme support entrepreneurship?
Yes. Students interested in startups and innovation can access entrepreneurship programs, mentorship, and incubation support through the university’s incubation ecosystem.
12. What are the eligibility requirements?
Applicants should have completed 12th grade (or equivalent) with Mathematics as a core subject, along with a strong interest in computing and technology.
13. What makes this programme different from a typical B.Tech or B.Sc. programme?
This programme combines strong theoretical foundations with hands-on engineering practice and advanced specialisation. The integrated five-year structure allows students to progress from fundamentals to advanced system design and professional-level expertise.
14. Will students learn emerging technologies such as AI and cloud computing?
Yes. The curriculum includes exposure to cloud platforms, DevOps practices, distributed systems, cybersecurity, and AI-enabled development tools, preparing students for modern technology environments.
15. What industries recruit graduates from IT programmes like this?
Graduates typically work in industries such as software and technology companies, financial services, healthcare technology, e-commerce platforms, consulting firms, and government digital infrastructure projects.
16. What facilities support learning and innovation?
Students have access to modern laboratories, computing infrastructure, collaborative learning spaces, and research centres that support advanced work in data science, computing, and AI.
17. What support systems are available for students?
Students benefit from:
- Academic mentoring and advising
- Research supervision and labs
- Career services and internship support
- Innovation and entrepreneurship initiatives
- Access to interdisciplinary learning opportunities
18. What kind of campus activities can students participate in?
Students can participate in technical clubs, hackathons, research groups, innovation challenges, cultural events, and sports, contributing to a vibrant campus experience.
19. When does the application process begin?
The application process typically begins in March each academic year, with the programme commencing in July/August. Applicants are encouraged to check the official admissions page regularly for updated timelines.
20. Is mathematics required in Class XII?
Yes. Since the programme involves advanced topics in programming, algorithms, data science, computing, and artificial intelligence, a strong background in mathematics is essential.
21. Are scholarships or financial assistance available?
Yes. The university offers scholarships and financial assistance to eligible students based on academic merit and other criteria. Details are available on the Fee & Scholarships page.
22. Can international students apply?
Yes. International applicants are welcome to apply, provided they meet the university’s academic and admission requirements.
23. How can applicants track their application status?
Applicants can monitor the progress of their application through the online admissions portal of Dhirubhai Ambani University.
24. How can students apply to the programme?
Applications can be submitted through the online admission portal of Dhirubhai Ambani University. Detailed eligibility criteria, admission processes, and timelines are available on the programme admission page.