That focuses on in depth of knowledge in Artificial Intelligence & Machine Learning along with the breadth of knowledge in the field of choice for another specialization.
A graduate from this program will be a Computer Engineer with additional knowledge of couple of domains which are relevant for application development in Industry. The program is offered in co-design, co-delivered and co-certified model in association with HCLTech and a few courses are taught by the subject matter experts from IT Industry to prepare the students to become Industry ready for creating solutions for the society.

Eligibility Criteria
To pursue this program student must have
Course Structure
| S. No. | Course Title | S. No. | Course Title |
| 1 | Data Structure using C | 1 | Object Oriented Programming |
| 2 | Engineering Mathematics 1 | 2 | Engineering Mathematics - 2 |
| 3 | Applied Engineering Physics | 3 | Advance Data Structures |
| 4 | Programming for Problem Solving in Python | 4 | Computer System Architecture |
| 5 | Emerging Trends in Computer Science | 5 | Design Thinking |
| 6 | Idea Lab | 6 | Environmental Studies (SDG Goal Project) |
| 7 | English Language | 7 | University Elective (Open Elective) -1 |
| 8 | Universal Human Values | ||
| S. No. | Course Title | S. No. | Course Title |
| 1 | Database Management System | 1 | Computer Networks |
| 2 | Theory of Computation | 2 | Software Engineering & Project Management |
| 3 | Discrete Mathematics | 3 | Operating Systems |
| 4 | Advanced Java Programming | 3 | Prompt Engineering |
| 5 | Embedded System | 4 | Machine Learning & Deep Learning |
| 6 | Introduction to Artificial Intelligence & Machine Learning | 5 | Design and Analysis of Algorithm |
| 7 | Technical Communication | 6 | Advanced Database Management System |
| 8 | Social Internship 1 | 7 | University Elective (Open Elective)-2 |
| S. No. | Course Title | S. No. | Course Title |
| 1 | Social Internship-2 | 1 | Venture Ideation |
| 2 | Computer Graphics | 2 | Computational Linguistics and Natural Language Processing |
| 3 | Compiler Design | 3 | School of Computing - Department Elective 2 |
| 4 | Application of Machine Learning in Industries | 4 | Quantative Techniques & Logical Reasoning 1 |
| 5 | School of Computing - Department Elective 1 | 5 | Web Technologies |
| 6 | Minor Project -1 | 6 | Minor Project 2 |
| 7 | Indian Knowledge System | 7 | Professional Communication |
| 8 | Cryptography and Network Security | 8 | University Elective (Open Elective)-3 |
| S. No. | Course Title | S. No. | Course Title |
| 1 | Data Mining | 1 | Major Project - 2 |
| 2 | Big Data Analytics | 2 | Constitution of India -MOOC |
| 3 | Professional Ethics | 3 | School of Computing - Department Elective 4 |
| 4 | Major Project -1 | ||
| 5 | School of Computing - Department Elective 3 | ||
| 6 | Quantative Techniques & Logical Reasoning 2 | ||
| 7 | Summer Internship |
Fee Structure
(Major-AI & ML / Data Science/ Cyber Security) | Total- 180 Credits
| Fees | I Semester | II Semester | III Semester | IV Semester | V Semester | VI Semester | VII Semester | VIII Semester |
|---|---|---|---|---|---|---|---|---|
| Admission Fee | 15,000 | - | - | - | - | - | - | - |
| Tution Fee | 1,21,750 | 1,21,750 | 1,30,881 | 1,30,881 | 1,40,697 | 1,40,697 | 1,51,250 | 1,51,250 |
| University Examinations Fees | 5,500 | 5,500 | 5,500 | 5,500 | 5,500 | 5,500 | 5,500 | 5,500 |
| Total | 1,42,250 | 1,27,250 | 1,36,381 | 1,36,381 | 1,46,197 | 1,46,197 | 1,56,750 | 1,56,750 |
| Security (Refundable) | - | - | 10,000 | - | - | - | - | - |
| Other Incidental Compulsory Charges | ||||||||
| Charges for Uniform (Dress Camp) | 9,500 | - | - | - | - | - | - | - |
| Book Bank (EET Library) | 4,500 | - | - | - | - | - | - | - |
| Career Development Cell Membership | - | - | - | - | - | - | 7,500 | - |
| Alumni Registration + 1 Year Enrollment | - | - | - | - | - | - | - | 5,000 |
| Online ERP Fee | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 |
The classes in Doon School of Advanced Computing may stretch till late evening and require many group projects and hence students are advised to stay in the campus hostels. However, the day boarding (Rs.25,000/Year) is compulsory for B.Tech CS programs other than the final year.
*Scholarship amount (if any) will be calculated on B.Tech tuition fee for first year Rs. 96,750 per semester and subsequently thereafter.
Fee is subject to change. For detailed fee structure kindly visit www.dgu.ac
Scholarship
| CATEGORY | All India | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SCHOLARSHIPS | 10.00% | 20.00% | 30.00% | 40.00% | 50.00% | 60.00% | 70.00% | 80.00% | 90.00% |
| 12th Percentage (Any Central Board) | 80.00-84.99 | 85.00-89.99 | 90.00-92.50 | 92.60-94.99 | 95 | 96 | 97 | 98 | 99 |
| JEE Percentile | 75-79.99 | 80 - 84.99 | 85 - 89.99 | 90 - 94.99 | 95-95.99 | 96-96.99 | 97-97.99 | 98-98.99 | 99-100 |
| CUET Percentile | 88 - 89.99 | 90-91.99 | 92-93.99 | 94-94.99 | 95-95.99 | 96-96.99 | 97-99.99 | 98-98.99 | 99-100 |
Note: Best 4 Core Subjects only (SUPW, Physical Education and Non Academic Subjects will not be considered)
Get a one-time non-returnable grant of Rs.2.5 Lakh Or 25% Scholarship on tuition fees whichever is lower
25% Scholarship on tuition fees
25% on Tuition Fee
10% on Tuition Fee
10% on Tuition Fee
10% on Tuition Fee
However the scholarship for 3rd semester onwards wlil be subject to:
In case any of the above criteria is not fulfliled the scholarship for the next semester wlil be withdrawn.
USPs of program
Emphasis on hands-on experience through labs, projects and internships.
Courses designed around practical projects that solve real industry problems.
The hallmark of our programs is the "T" Skillset model. This approach ensures that students gain:
Depth of Technological Knowledge : Specialized expertise in one core area of IT.
Breadth of Domain Knowledge : A broad understanding of related domains to apply their core expertise effectively.
This model equips graduates with a comprehensive skillset that is highly valued in the industry, making them versatile and adaptable professionals.
Our programs are designed not only to impart theoretical knowledge but also to instil critical problem-solving skills and a commitment to lifelong learning. Graduates will be prepared to:
Choose the Department of CSE, School of Advanced Computing at DBS Global University and become part of a dynamic community dedicated to shaping the future of computing. Our programs will empower you with the skills, knowledge, and experience needed to excel in your career and make a meaningful impact in the world of technology.
Other Specialization






Study Abroad Opportunities for Global Careers
DBS Global University offers students flexible and impactful study abroad pathways designed to build global competence and career readiness. Backed by a strong network of 50+ MOUs across 20+ countries, the University enables meaningful international exposure through Short-Term Global Immersion Programs, Credit Transfer Study Abroad Programs, and Dual Degree & Long-Term Global Pathways.
Through strategic partnerships with institutions across Australia, USA, Europe, Malaysia, Singapore, Dubai, Thailand, Indonesia, Turkey, Hong Kong and Russia, students benefit from internationally benchmarked curricula, industry exposure, multicultural classrooms, and cross-cultural learning. These experiences integrate academics with experiential learning, global networking, and real-world insights—empowering students with a global mindset, enhanced employability, and the skills required for successful international careers.
350+ companies recruit from campus every year
This is a four-year, industry-oriented undergraduate program offering dual specializations. It provides in-depth knowledge in Artificial Intelligence & Machine Learning (AI&ML) and breadth in another chosen field, co-designed and co-delivered in association with HCLTech to ensure industry relevance.
The program's unique aspects include its dual specialization structure, a co-designed, co-delivered, and co-certified model with HCLTech, teaching by industry experts, and a strong focus on experiential learning through three internships and four hands-on projects.
Key highlights include :
The "T" Skillset model ensures graduates develop both depth of technological knowledge in a core IT area (like AI&ML) and a breadth of domain knowledge in related fields. This creates versatile, adaptable, and highly valued industry professionals.
Graduates can pursue roles such as AI Engineer, Data Scientist, Cyber Security Analyst, IT Consultant, AI Product Manager, Data Analyst, Research Scientist, Network Security Engineer, Business Intelligence Analyst, and many more in the IT and tech sectors.
Applicants must have a minimum of 60% in Class XII with Physics, Mathematics, and Chemistry/Computer Science as mandatory subjects. Admission is based on a cumulative score from performance in Class X, Class XII, a National Level Entrance Examination, an Online Interview, and a Writing Test.
Industry readiness is ensured through a curriculum taught by IT industry experts, hands-on projects focusing on real-world problems, internships with leading tech companies, use of industry-standard collaborative platforms in labs, and regular interaction with industry via seminars, workshops, and mentorship.
DGU’s School of Advanced Computing offers a distinct advantage through its powerful industry partnership with HCLTech, an optimal student-teacher ratio, highly experienced faculty (15+ years average), a guaranteed structure of internships and projects, and a focus on the "T" Skillset model. This combination of quality education, strong industry integration, and experiential learning at a worthwhile cost makes it a compelling first choice for aspiring computer engineers.
The program emphasizes experiential learning through project-based labs, four major collaborative projects, three internships, industry-centric research projects, innovation challenges, and student-led technical clubs, all designed to provide practical, real-world problem-solving experience.