The future belongs to professionals who can combine technology, Artificial Intelligence, data, digital experiences and application development.
At DBS Global University, the BCA with Dual Specialization programme is designed to prepare students for the next generation of technology careers through a future-focused, industry-aligned curriculum. Unlike conventional BCA programmes, students graduate with the rare combination employers now look for:
Students can choose any two specializations from:
This unique model lets students customise their own career pathway based on their interests and future aspirations.
Technology careers are evolving rapidly, and tomorrow's employers want professionals who can combine coding, AI, data and digital-product skills. India is projected to need an estimated 8–10 million AI-skilled professionals by 2030 (NASSCOM), with data analytics, cloud and digital-product roles among the fastest-growing across every industry. Just as importantly, employers increasingly prefer multi-skilled professionals who can work across two domains which is exactly what this dual-specialization model is built to produce.
A few of the pathways students can design with two specializations:
| Specialization Combination | Ideal Career Direction |
|---|---|
| AI + Data Analytics | Artificial Intelligence, Machine Learning, Analytics & Automation |
| AI + UI/UX | Intelligent product design and AI-powered digital experiences |
| Data Analytics + Mobile App Development | App analytics, product intelligence and digital business |
| UI/UX + Mobile App Development | Digital product design and application development |
| AI + iOS Development | AI-powered iOS apps and intelligent mobile products |
| Data Analytics + iOS Development | App analytics and product intelligence on Apple platforms |
The programme is designed to create professionals who are versatile, adaptable and industry-ready.
At DBS Global University, students learn through a model that blends academic depth with real, hands-on implementation:
Students graduate with both academic depth and practical implementation skills.
Strong Computing Foundation
Students develop solid technical fundamentals through:
This foundation prepares students for evolving technology careers and future learning pathways.
1. Artificial Intelligence (with HCLTech)
Learn the technologies shaping the future of business and computing. Key learning areas include:
Industry advantage: students completing the AI specialization electives earn an HCLTech Industry Certification in addition to their university degree.
2. Data Analytics (with HCLTech)
Develop the skills to work with modern data ecosystems and analytics-driven decision-making. Students learn:
Industry advantage: students completing the Data Analytics specialization electives earn an HCLTech Industry Certification alongside their university degree.
3. UI/UX Design
Design digital experiences that users love. Students gain exposure to:
Students learn how to create engaging, user-friendly digital products.
4. Mobile App Development
Build modern applications for a mobile-first world. Students learn:
Students gain practical skills in building scalable, modern applications.
5. iOS Development (Premium Global Career Specialization)
Build modern iOS applications for the premium Apple ecosystem. Students learn:
Delivered in an Apple-enabled lab, this track positions students for high-value global mobile-development roles.
This gives students a strong competitive advantage in placements and higher studies.
The programme follows an experiential learning model. Students take part in 3 internships and 4 projects, with hands-on exposure to:
The emphasis throughout is on practical implementation and portfolio building.
Graduates are prepared for a wide range of roles across the technology sector:
Salient Features
Regular updates to the curriculum to reflect the latest trends and technologies in the IT sector.
The hallmark of our programs is the "T" Skillset model. This approach ensures that students gain:
This model equips graduates with a comprehensive skillset that is highly valued in the industry, making them versatile and adaptable professionals.
Throughout their academic journey, students will engage in:
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.
Advantage @DGU
Fee Structure
Data Analytics / Machine Learning in association with HCLTech
| Fees | I Semester | II Semester | III Semester | IV Semester | V Semester | VI Semester |
|---|---|---|---|---|---|---|
| Admission Fee | 10,000 | - | - | - | - | - |
| Tution Fee | 49,500 | 49,500 | 54,500 | 54,500 | 59,000 | 59,000 |
| University Examinations Fees | 5,500 | 5,500 | 5,500 | 5,500 | 5,500 | 5,500 |
| Total | 65,000 | 55,000 | 60,000 | 60,000 | 64,500 | 64,500 |
| 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 |
Fee is subject to change. For updated fee structure kindly visit www.doonbusinessschool.com / www.dgu.ac
All under graduate degrees can be converted into the respective Hons. program through following pathways Research/Industry Attachment/Start-Up/Super Specialised Courses
Students opting for Hons. program, will continue to pay the same semester fee as in their previous semester
Eligibility Criteria
Course Structure
| Category | Course Title |
|---|---|
| PC | Mathematical Foundation |
| PC | Programming in C |
| PC | Fundamentals of computer |
| PC | Emerging technologies in IT |
| MC | Environmental Studies |
| HS | English Language |
| Category | Course Title |
|---|---|
| PC | Object Oriented Programming and UML |
| BS | CBNT |
| PC | Data Structure |
| PC | Python Programming |
| BS | Digital Electronics |
| PE | Design Thinking |
| UE | University Elective (Open Elective) - I |
| AE | General Proficiency |
| Category | Course Title |
|---|---|
| PC | Database Management System |
| PC | Computer System Architecture |
| PC | Java programming |
| PE | Elective Basket One I |
| PE | Elective Basket Two I |
| MC | Indian Knowledge System |
| AE | Social Internship |
| HS | Technical Communication |
| Category | Course Title |
|---|---|
| PC | Operating System |
| PC | Software Engineering & System Design |
| PC | Using Advance Python Libraries |
| PE | Elective Basket One II |
| PE | Elective Basket Two II |
| PC | Design and Analysis of Algorithm |
| PC | Advance Java programming |
| UE | University Elective (Open Elective) - II |
| AE | General Proficiency |
| Category | Course Title |
|---|---|
| PC | Computer Networks |
| PC | Web Technologies |
| PC | Fundamentals of Mobile Programming |
| PE | Elective Basket One III |
| PE | Elective Basket Two III |
| AE | Minor Project |
| AE | Quantitative Techniques & Logical Reasoning -I |
| AE | Civil Internship |
| Category | Course Title |
|---|---|
| AE | Quantitative Techniques & Logical Reasoning -II |
| PE | Elective Basket One IV |
| PE | Elective Basket Two IV |
| AE | Major Project |
| HS | Professional Communication |
| UE | University Elective (Open Elective) -III |
| AE | General Proficiency |
| Category | Course Title |
|---|---|
| AE | Summer Internship |
| PC | IoT |
| PC | Git and Github |
| PC | Cloud Computing |
| Category | Course Title |
|---|---|
| AE | Research paper writing |
| AE | Thesis |
| Category | Course Title |
|---|---|
| PE | Prompt Engineering fundamentals and AI tool application |
| PE | Agile Development Methodology |
| PE | Machine Learning & Deep Learning |
| PE | AI and Machine Learning application |
| Category | Course Title |
|---|---|
| PE | Fundamentals of Data Engineering |
| PE | Working with unstructured data using NoSQL |
| PE | Understanding Big Data and its Application |
| PE | Data Analytics and Visualization |
| Category | Course Title |
|---|---|
| PE | Cross-Platform Mobile App Development |
| PE | Mobile App Deployment and Optimization |
| PE | Mobile App Security and Privacy |
| PE | Cloud-Integrated Mobile Applications (Mobile Backend & APIs) |
| Category | Course Title |
|---|---|
| PE | Principles of User Experience (UX) Design |
| PE | Interaction and Visual Interface Design |
| PE | Usability Testing and Prototyping |
| PE | UI Engineering and Frontend Prototyping |
| Category | Course Title |
|---|---|
| PE | Fundamentals of iOS App Development using Swift |
| PE | Advanced iOS Application Development |
| PE | iOS UI/UX and Human Interface Design |
| PE | iOS App Deployment, Security & App Store Publishing |
Scholarship
| CATEGORY | All India | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 12th% age (Any Central Board) | 80.00-84.99 | 85.00-89.99 | 90.00-92.50 | 92.60-94.99 | 95 | 96 | 97 | 98 | 99 |
| 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 |
| 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 |
| Scholarships (in % tuition fee) | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 | 90 |
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.






350+ companies recruit from campus every year
Yes. Students can choose any two specializations from Artificial Intelligence (with HCLTech), Data Analytics (with HCLTech), UI/UX Design, Mobile App Development, and iOS Development.
Graduates can pursue careers in software development, AI, analytics, mobile and iOS apps, UI/UX, automation, digital-product development and related technology domains.
The "T" Skillset model ensures students gain depth of technological knowledge in one core IT area and breadth of domain knowledge across related fields, making them versatile and industry-ready professionals.
Students engage in three internships with leading tech companies, four industry-centric projects, seminars, workshops, mentorship, networking mixers, alumni programs, start-up incubators, innovation challenges, and technical clubs.
Eligibility requires a minimum of 75% in Class XII with Physics, Mathematics, and Chemistry/Computer Science as mandatory subjects. Admission is based on a National Level Entrance Examination score, followed by an Online Interview and Writing Test, with cumulative merit from X, XII scores, and the interview/writing test.
The curriculum instills lifelong learning and problem-solving abilities, enabling graduates to adapt to changing technologies, innovate solutions, and contribute effectively to societal, industrial, and research challenges.
DBS Global University (DGU) is the best university for the BCA program, offering a comprehensive, industry-aligned curriculum with exceptional experiential learning and placement opportunities.
The program boasts strong placements with top industry recruiters, supported by dedicated training, internships, and projects that ensure great career opportunities for graduates.
Yes, the program includes soft skills training, faculty-student research collaboration, research conferences, publications, and interdisciplinary courses to ensure holistic development.