The B.Tech. in Computer Science & Engineering at WPU GŌA prepares students to build and lead the technologies that power the modern world from algorithms, networks, intelligent systems, cybersecurity architectures, and data platforms to computational models of human behaviour. It equips students to thrive in a future where computing shapes healthcare, finance, education, governance, mobility, climate resilience, manufacturing, media, and everyday life.
At WPU GŌA, computer science education begins not merely with syntax or tools, but with first principles: how systems behave, how intelligence is modelled, how networks scale, how software transforms institutions, and how technology affects society. You will learn to think like a computer scientist and design like an engineer applying analytical rigour, creativity, and systems thinking to build technologies that matter. With every semester, you will move from writing code to designing complex systems, from understanding how technology works to understanding how it shapes society.
Students learn through a powerful combination of rigorous coursework, engineering labs, immersive projects, interdisciplinary studios, global exposure, industry practice, research pathways, and a signature capstone experience.
India’s emergence as one of the world’s most consequential digital economies driven by AI-enabled industries, digital public infrastructure, fintech innovation, semiconductor ambition, cloud-native enterprises, and deep-tech entrepreneurship has created extraordinary opportunities for graduates who combine technical depth with broad strategic understanding.
The programme integrates deep technical education with transdisciplinary fluency connecting programming with psychology, data with design, cybersecurity with governance, and AI with ethics.
The B.Tech. in Computer Science & Engineering at WPU GŌA is a four-year undergraduate degree for students who seek to understand computing deeply and apply it meaningfully.
The curriculum develops mastery across:
Students begin by building foundations in structured thinking, mathematics, programming, engineering science, and logic. They then progress into the core pillars of computer science before advancing into specialised pathways, industry immersion, interdisciplinary learning, and a final integrative capstone.
A defining strength of the programme is its dual-specialisation model. Every student develops technical depth through a Within Domain Specialisation while also building applied breadth through a Cross Domain Specialisation. This enables graduates to combine engineering capability with complementary strengths such as design innovation, behavioural science, venture creation, or analytics.
Graduates emerge prepared not only for employment, but for frontier innovation, startup creation, research pathways, graduate study, and leadership in a technology-driven world.
This fosters transdisciplinary fluency, the ability to integrate insights from multiple domains. This is a defining feature of WPU GŌA graduates and prepares them to build technology that is not only technically excellent but also human-centred, ethically sound, and commercially viable.
| Semester 1 | Semester 2 | |||
|---|---|---|---|---|
| Course | Credits | Course | Credits | |
| Writing & Rhetoric I | 4 | Philosophical & Cultural Thought | 4 | |
| Systems Thinking & Problem Framing | 4 | Data, Information & Visualization | 4 | |
| Engineering Mathematics I | 4 | Engineering Mathematics II | 4 | |
| Programming for Engineers (Python) | 4 | Basic Electrical Engineering | 4 | |
| Engineering Physics I | 4 | Engineering Physics II | 4 | |
| Total | 20 | Total | 20 | |
| Semester 3 | Semester 4 | |||
|---|---|---|---|---|
| Course | Credits | Course | Credits | |
| Writing in the Disciplines | 4 | AI Literacy & Responsible Technology | 4 | |
| Data Structures & Algorithms I | 4 | Data Structures & Algorithms II | 4 | |
| Discrete Mathematics for Computing | 4 | Computer Organisation & Architecture | 4 | |
| Digital Logic Design | 4 | Operating Systems | 4 | |
| Object-Oriented Programming | 4 | Database Systems | 4 | |
| Total | 20 | Total | 20 | |
| Semester 5 | Semester 6 | |||
|---|---|---|---|---|
| Course | Credits | Course | Credits | |
| Theory of Computation | 4 | Distributed Systems | 4 | |
| Computer Networks | 4 | Introduction to Machine Learning | 4 | |
| Software Engineering | 4 | Cybersecurity Fundamentals | 4 | |
| Probability & Statistics for ML | 4 | Within-Domain Specialisation I | 4 | |
| Communication, Collaboration & Leadership | 4 | Planning, Execution & Project Management | 4 | |
| Total | 20 | Total | 20 | |
| Semester 7 | Semester 8 | |||
|---|---|---|---|---|
| Course | Credits | Course | Credits | |
| Within-Domain Specialisation II | 4 | Capstone Project | 12 | |
| Within-Domain Specialisation III | 4 | Cross-Domain Specialisation II | 4 | |
| Directed Elective I | 4 | Directed Elective II | 4 | |
| Cross-Domain Specialisation I | 4 | |||
| Internship / Industry Immersion | 4 | |||
| Total | 20 | Total | 20 | |
Students choose one Within-Domain Specialisation starting in Year 3. These advanced tracks allow students to develop significant depth in a focused area of computer science while building on the strong foundational knowledge acquired in the programme core.
This specialisation prepares students to design, develop, and deploy intelligent systems that can perceive, learn, reason, and make decisions. Students gain mastery over both classical and modern AI techniques, including supervised and unsupervised learning, deep neural networks, reinforcement learning, and generative models. The curriculum covers advanced topics such as Natural Language Processing, Computer Vision, Generative AI, Large Language Models, and AI Systems Design and optimisation. A strong emphasis is placed on Responsible AI — addressing fairness, transparency, accountability, bias mitigation, and ethical deployment of AI systems in real-world contexts.
Graduates from this track are equipped to tackle complex challenges in healthcare diagnostics, autonomous systems, personalised recommendation engines, intelligent automation, and scientific discovery. They emerge as professionals capable of not only building cutting-edge AI solutions but also ensuring these technologies are trustworthy, equitable, and aligned with societal values.
Career options include:
– Machine Learning Engineer
– AI Research Engineer
– Computer Vision Engineer
– NLP Engineer
– Generative AI Specialist
– AI Ethics Analyst
– Robotics & Autonomous Systems Engineer
– Applied Scientist (AI/ML).
This specialisation trains students to extract meaningful insights from complex, large-scale data and translate them into actionable intelligence that drives decision-making. Students master the full data lifecycle — from data acquisition, cleaning, and engineering to advanced statistical modelling, predictive analytics, and visualisation. The curriculum includes Big Data Systems and Distributed Computing, Machine Learning applications for data, Behavioural Data Analytics, Business Intelligence, and modern techniques for data storytelling and optimisation.
Students learn to work with real-world datasets across domains such as finance, healthcare, e-commerce, governance, and climate science. They develop the ability to design robust data pipelines, build predictive models, and communicate insights effectively to both technical and non-technical stakeholders.
Career options include:
– Data Scientist
– Data Engineer
– Business Intelligence Analyst
– Cloud & Big Data Engineer
– Quantitative Analyst
– Behavioural Data Analyst
– Data Product Owner
– Decision Science Specialist.
Graduates are highly valued in consulting firms, digital-first companies, banks, fintech, research institutions, and public policy organisations where data-driven strategy is critical.
This specialisation focuses on designing, implementing, and securing modern computing systems in an era of increasing cyber threats. Students develop deep expertise in both defensive and offensive security practices, secure systems architecture, network security, cryptography, and incident response. The curriculum covers Ethical Hacking and Penetration Testing, Digital Forensics, Cloud Security, Zero-Trust Architecture, Blockchain Security, and risk assessment frameworks.
Students learn to think like both builders and adversaries, designing resilient systems while understanding how they can be attacked and compromised. The track emphasises building secure-by-design architectures for critical infrastructure, cloud-native applications, IoT ecosystems, and enterprise systems.
Career options include:
– Cybersecurity Analyst
– Security Operations (SOC) Engineer
– Ethical Hacker
– Security Architect
– Incident Response Specialist
– Network Security Engineer
– Cloud Security Consultant
– Digital Forensics Engineer.
Graduates are prepared for high-responsibility roles in government agencies, defence organisations, global tech companies, financial services, critical infrastructure protection, and cybersecurity consultancies.
Students choose one curated pathway (or design a custom one under faculty supervision):
The immersion journey brings the philosophy of the programme to life. Students repeatedly encounter technology in real institutional, industrial, and societal contexts.
Students participate in a two-week international immersion visiting technology clusters, smart city systems, AI labs, startup ecosystems, innovation districts, and digital public infrastructure environments. They observe how advanced societies use software, automation, mobility platforms, data systems, and design thinking to solve large-scale problems.
Students spend time at the Life Transformation Centre (LTC) focusing on resilience, ethical judgement, leadership discipline, self-awareness, and reflective clarity.
A domestic industrial visit introduces students to automation systems, operations environments, and how physical infrastructure interacts with digital systems. At the end of Year 1, students begin to see computing as infrastructure, institutions, and systems, not only coding.
Students undertake a rural Goa immersion, engaging communities and understanding education systems, livelihoods, sustainability, healthcare access, public service delivery, and governance realities. They identify where technology can create meaningful impact rather than superficial solutions. The second semester includes an Asian-region trade show or technology exposition featuring emerging sectors such as robotics, AI, cybersecurity, electronics, mobility, and enterprise software. The year would conclude with a two-month structured internship in an NGO, mission-driven organisation, administrative office, or social impact institution. As the year concludes students build product empathy, civic-tech awareness, user understanding, and problem sensitivity.
A National Immersion at a premier Indian institution such as an IIT or advanced research ecosystem provides exposure to frontier engineering research, labs, innovation culture, and advanced technical communities. Students undertake a three-month major internship in startups, AI labs, cybersecurity firms, consulting organisations, product companies, data teams, or cloud technology environments.
Students participate in Grand Challenge Studios solving live problems such as:
Immersions in Year 3 convert theory into deployable engineering capability.
The Active Citizenship Programme provides direct exposure to governance systems, regulation, cyber law, digital rights, public technology, AI policy, and how engineering decisions intersect with society. The final semester culminates in a Signature Capstone Project which synthesises four years of technical learning into real-world impact.
Students work on projects like:
Students appearing for Class 12 board examinations in 2026 are eligible to apply and can submit predicted scores or “Result Awaited” status initially. Final admission is confirmed only after submission of the official marksheet.
WPU GŌA follows a holistic, multi-stage admission process designed to identify well-rounded, high-potential students who demonstrate academic capability, technical aptitude, and alignment with the university’s transdisciplinary and values-driven philosophy.
Weightage is given to:
For precise dates, admission schedule, and the latest updates, please visit the official Admissions page and the detailed Admission Process & Schedule.
₹7,50,000 per year (fixed for all four years, no annual escalation for students joining in 2026).
This is a special inaugural batch fee. The regular programme fee is ₹9,00,000 per year; the inaugural cohort receives a substantial subsidy.
| Category | Amount (₹) |
|---|---|
| Tuition Fees | 4,50,000 |
| Development Fees | 50,000 |
| Other Fees | 10,000 |
| Student Housing (Accommodation) | 1,60,000 |
| Meal Plan (Vegetarian) | 80,000 |
| Total Annual Fee | ₹ 7,50,000 |
Security Deposit: ₹50,000 (one-time, refundable at graduation or withdrawal, subject to conditions)
The stated fee covers the regular academic year (Monsoon + Spring semesters). Additional charges apply only if a student is required to stay on campus during winter or summer terms with prior permission.
Scholarships: Merit-based and special scholarships are available for deserving students. Scholarships apply primarily to tuition fees.
Refund Policy: As per the official Admissions Policy. Full details regarding payment schedule, refund rules, and terms & conditions are available in the Admissions Policy 2026.
For the most accurate and latest fee details, payment schedule, and complete inclusions/exclusions, please visit the official Fee Structure page.
Q1. What makes the B.Tech CSE programme at WPU GŌA different from traditional Computer Science programmes? The WPU GŌA B.Tech CSE is built on India’s first platform-based academic architecture. Students receive deep technical training combined with a mandatory Cross-Domain Specialisation, studios every semester, an Independent Inquiry Period, extensive real-world immersions, and a full-semester Capstone. The programme emphasises human-centred design, responsible AI, systems thinking, and ethical technology — preparing graduates to build technology that is not only powerful but also socially meaningful.
Q2. How early do students start working on real projects? From the first semester. The programme follows a strong studio-based and project-driven approach. Students work on mini-projects, labs, and challenge-led assignments from Year 1, gradually progressing to complex Grand Challenge Studios and industry-level problems.
Q3. What is the Independent Inquiry Period (IIP)? After Semester 5, students undertake a four-week, credit-bearing IIP where regular classes pause. They pursue a self-directed deep-dive such as building an AI prototype, conducting cybersecurity research, exploring a data-driven solution, or contributing to a Grand Challenge. It builds intellectual independence and often feeds directly into the final Capstone project.
Q4. Are there opportunities for research during the undergraduate programme? Yes. Students engage with Research Institutes from early years. The IIP, Grand Challenge Studios, and Capstone provide structured opportunities for research, prototyping, and publication-level work.
Q5. What Within-Domain Specialisations can I choose? Students choose one specialisation in Year 3:
Q6. What is the benefit of the Cross-Domain Specialisation? It gives every CSE student complementary breadth from Design, Humanities, or Business (e.g., Design Thinking & Innovation, Behavioural Science, or Entrepreneurship). This transdisciplinary fluency is highly valued by employers and enables graduates to solve complex, real-world problems that sit at the intersection of technology, people, and business.
Q7. Are all immersions mandatory? Yes. Immersions form a core part of the academic journey and are credit-bearing. They include International Immersion, Rural Goa immersion, National Immersion at an IIT, trade show visit, 12-week industry internship, LTC, and Active Citizenship Programme.
Q8. How much industry exposure will I get? Students accumulate approximately 11+ months of structured professional experience through progressive immersions, a two-month social/NGO internship, a 12-week industry internship, and a full-semester Capstone project.
Q9. Are immersions covered in the programme fee? Yes. All mandatory domestic and international immersions including travel, accommodation, meals, and insurance (where applicable) are fully covered in the annual fee.
Q10. Is JEE Main mandatory for B.Tech CSE admission? While not mandatory, a valid JEE Main score can strengthen the application. The final selection is based on a holistic evaluation that includes the WPU GŌA Entrance Examination, essays, and personal interaction.
Q11. What should I focus on in my Written Essay? Be authentic and reflective. Share your interest in computer science, meaningful projects or experiences, challenges overcome, and why you want to study at WPU GŌA. Highlight your curiosity, technical inclination, and alignment with responsible technology development (max 750 words).
Q12. Can I apply if my Class 12 results are awaited? Yes. You may apply with “Result Awaited” status and predicted scores. Final admission is confirmed after submission of the official marksheet.
Q13. What is the fee for the 2026 batch? ₹7,50,000 per year (fixed for all four years — no escalation). This special inaugural batch fee includes tuition, residential accommodation, meals, and all mandatory immersions.
Q14. Are scholarships available? Yes. Merit-based, need-cum-merit, and special scholarships are offered. Details and application process become available after registration.
Q15. What career opportunities are available after B.Tech CSE? Graduates are prepared for high-demand roles in AI/ML, Data Science, Cybersecurity, software engineering, product development, research, and entrepreneurship. Many join global tech companies, startups, fintech, defence, healthcare AI firms, or pursue higher studies (MS/PhD) at top universities.
Q16. Does the programme support entrepreneurship? Yes. Students interested in startups benefit from dedicated entrepreneurship pathways, incubation support through Centres of Excellence, and the option to convert their Capstone into a live venture.
Q17. How does the programme prepare students for an AI-driven future? Through mandatory AI Literacy, deep specialisations in AI/ML and Data Science, Responsible AI focus, and cross-domain exposure, graduates learn to design, build, and lead with intelligent systems ethically and effectively.
Q18. Is residential accommodation mandatory? Yes. WPU GŌA is a fully residential campus. Living in Learning Scholar Communities (LLSCs) is an integral part of the educational experience.
Q19. Are laptops mandatory? Yes. Students are expected to bring their own laptop as the learning environment is fully tech-enabled.
Q20. Whom should I contact for more information? Write to admissions@wpugoa.edu.in or call the admissions helpline at +91 86050 07433.
