The programme is designed to provide students with a thorough and in-depth understanding of various facets within the field of computer science and applications. The curriculum emphasizes a rigorous academic approach, covering core computer science topics such as programming languages (C++, Java, Python), data structures, algorithms, and software engineering principles. Starting from the third semester, the program delves into specialized areas like Graphics and Animation, Game Development, UI and UX Design, VR and AR, Computer Animation, and Computer Vision. These modules offer a comprehensive exploration of concepts, techniques, and tools, ensuring students are well-equipped for the dynamic and evolving landscape of the computing industry.
Additionally, the programme integrates hands-on project work, where students engage in practical projects related to game development, graphics design, or other relevant areas. Collaborative projects, including the design and implementation of games or graphics applications, provide students with valuable teamwork experience.
Furthermore, the curriculum emphasizes real-world exposure through internships and industry projects with gaming studios, animation companies, or IT firms specializing in graphics technology. This holistic approach ensures that graduates emerge not only with theoretical knowledge but also with practical skills and industry-ready expertise.
Four Years / Eight Semesters
| Course | Category |
|---|---|
| Mathematics for Computing | PP |
| Python Programming | PP |
| Python Programming Lab | PR |
| Fundamentals of Computer | PP |
| Operating Systems | PP |
| Interpersonal and Essential Skills - I | PR |
| Analytical Reasoning and Problem Solving - I | PR |
| Environmental Science | PP (NPTEL) |
| Course | Category |
|---|---|
| Introduction to Data Science | PE |
| Data Structures and Algorithms | PC |
| Object Oriented Programming Java | PC |
| Lab - Object Oriented Programming Java | PC |
| Statistics for Data Science | PE |
| Interpersonal and Essential Skills - II | PC |
| Analytical Reasoning and Problem Solving - II | PC |
| Indian Knowledge System | PC |
| Course | Category |
|---|---|
| Machine Learning Fundamentals | PE |
| Data Visualization | PE |
| Database Management Systems | PC |
| Probability and Statistical Inference | PE |
| Networking and Security | PC |
| Computer Organization | PP |
| Interpersonal and Essential Skills - III | PC |
| Professional Certification Accelerator in Emerging Technologies | PC |
| Course | Category |
|---|---|
| Full Stack Development | PC |
| Data Warehousing and Mining | PE |
| Natural Language Processing | PE |
| Artificial Intelligence | PE |
| Software Engineering | PC |
| Cloud Computing | PC |
| Virtual Internship | SEC |
| Course | Category |
|---|---|
| Capstone Projects | PC |
| Deep Learning | PE |
| Big Data Analytics | PE |
| Business Analytics | PE |
| Introduction to Internet of Things (IoT) | PE |
| Recruitment Essentials | PC |
| Career Competency Enhancement | PC |
| Course | Category |
|---|---|
| Industry Internship Program | IIP |
| Professional Ethics | PE |
| Basic Cyber Security | BSC |
Course Categories:
PC - Program Core || PE - Program Elective || SEC - Skill Enhancement Course || DI - Dissertation || IIP - Industry Internship Program
Program Educational Objectives
• Critically evaluate and interpret data using statistical, machine learning and Data Science techniques
• Apply creative problem-solving approaches to develop novel solutions that leverage data science techniques for societal and organizational benefit.
• Apply critical thinking skills for solving Complex Data Science problems to make informed decisions.
• Raise awareness of concerns pertaining to cyber health, safety, law, the environment, and national and international cultural diversity.
Program Specific Outcomes: BCA
1. Evaluate the effectiveness of data-driven solutions in addressing specific business or societal challenges, considering factors such as performance metrics, scalability, and ethical considerations.
2. Apply Data Science Skills to collect, clean, and preprocess diverse data types from various sources, including structured and unstructured data, to prepare them for analysis.
3. Implement statistical analysis techniques, machine learning algorithms, and data visualization tools to extract meaningful patterns, trends, and insights from datasets, effectively communicating findings through visual representations.
BCA:Program Outcomes
1. Disciplinary/Interdisciplinary Knowledge: Apply comprehensive interdisciplinary knowledge, practical skills, and entrepreneurial mindset to address diverse challenges and innovate in chosen fields, fostering adaptability and problem-solving capacity beyond to multidisciplinary field
2. Complex Problem Solving: Solve different kinds of problems in familiar and non-familiar contexts and apply the learning to real-life situations.
3. Critical Thinking: Apply critical thinking skills to analyze, evaluate, and synthesize diverse information, arguments, and evidence to formulate coherent arguments, identify logical flaws, and draw valid conclusions supported by evidence.
4. Creativity: Demonstrate versatility by creatively approaching diverse scenarios, tackling complex problems innovatively, employing multiple perspectives, and leveraging imaginative, lateral thinking, interpersonal skills, and emotional intelligence.
5. Communication Skills: Apply Effectively communicate complex information with clarity and sensitivity through attentive listening, analytical reading, precise writing, articulate oral expression, confident sharing of views, construction of logical arguments using appropriate technical language, and respectful language inclusive of diverse groups.
6. Analytical reasoning/ thinking: Developing critical thinking skills to assess evidence reliability, detect logical fallacies, analyze diverse data, draw valid conclusions, and effectively address opposing viewpoints.
7. Research-Related Skills: Demonstrate proficiency in observing, questioning, problematizing, synthesizing, formulating hypotheses, designing methodologies, employing analytical tools, executing experiments ethically, and reporting findings.
8. Coordinating/Collaborating with each other: Collaborate respectfully within diverse teams, to foster cooperation and efficiently contribute towards common goals.
9. Leadership Readiness/qualities: Formulating an inspiring vision, assembling a capable team, and employing effective management to navigate towards organizational goals while motivating and engaging team members with the vision.
10. Learning how to learn skills: Developing lifelong learning skills for personal, professional, and societal adaptation, encompassing self-directed learning, resource identification, organizational and time management, and fostering a proactive attitude towards continuous development.
11. Digital and Technological Skills: Utilizing ICT for diverse learning and work scenarios, including accessing, evaluating, and employing various information sources, along with utilizing appropriate software for data analysis.
12. Multicultural competence and inclusive spirit: Fostering cultural awareness, multicultural competency, inclusive leadership, gender sensitivity, and empathy towards marginalized groups to promote diversity, equity, and collaboration in various contexts.
13. Value Inculcation: Embracing and embodying constitutional, humanistic, and moral values while promoting responsible global citizenship, ethical conduct, sustainability, and integrity in all endeavors, fostering a culture of truth, peace, and inclusivity.
14. Autonomy, Responsibility and Accountability: Embracing and embodying constitutional, humanistic, and moral values while promoting responsible global citizenship, ethical conduct, sustainability, and integrity in all endeavors, fostering a culture of truth, peace, and inclusivity.
15. Environmental Awareness and Action: Addressing environmental degradation, climate change, and pollution through effective waste management, biodiversity conservation, forest and wildlife preservation, and promotion of sustainable development practices.
16. Community Engagement and Service: Demonstrate the capability to participate in community-engaged services/ activities for promoting the wellbeing of society.
17. Empathy: Demonstrate the ability to identify with or understand the perspective, experiences, or points of view of another individual or group, and to identify and understand other people’s emotions.
The Program Core of the BCA Hons programme with specializations in Data Science, Artificial Intelligence & Machine Learning, and Game Development forms the foundation of the curriculum, focusing on building strong fundamental knowledge and practical expertise in core computing domains.
It is carefully structured to enable students to analyze, design, and develop efficient software solutions aligned with current industry needs. The core includes essential subjects such as Programming (Java, Python), Data Structures, Algorithms, Database Management Systems, Operating Systems, Computer Networks, and Software Engineering, ensuring a smooth progression from basic concepts to advanced applications.
The Program Core emphasizes:
With a balanced focus on theoretical understanding and hands-on implementation, the Program Core prepares students to adapt their knowledge across domains like Data Science, AI/ML, and Game Development, enabling them to take up roles in the IT industry, pursue innovation, or continue with higher studies.
The Ability Enhancement Courses (AEC) are designed to equip students with essential professional, cognitive, and life skills that complement their technical education. This component focuses on developing competencies that are critical for academic success, career readiness, and personal growth in a dynamic and competitive global environment.
AECs encompass a wide range of skill-oriented modules such as communication and verbal ability, analytical and critical thinking, data interpretation, digital proficiency, industry-relevant tools, and emerging areas like prompt engineering and Industry 4.0. These courses are delivered through interactive, application-oriented learning approaches, ensuring practical skill development.
The AEC framework emphasizes:
By integrating these capabilities into the curriculum, AECs ensure that students graduate as well-rounded professionals with strong cognitive abilities, adaptability, and the confidence to excel in diverse professional environments.
Skill Enhancement Courses focus on practical, hands-on, and application-oriented learning aimed at developing industry-relevant competencies, technical skills, vocational abilities, and professional readiness. These courses emphasize experiential learning, tools, software applications, internships, and problem-solving capabilities.
The Dissertation Component in the BCA programme with specializations in Data Science, Artificial Intelligence & Machine Learning, and Game Development is designed to foster a strong research-oriented learning experience, enabling students to explore, analyze, and solve complex problems aligned with industry and societal needs.
Integrated through structured academic elements such as Design Projects, Capstone Project, and independent research work, the dissertation experience allows students to undertake in-depth, innovation-driven projects within their chosen domains.
Students engage in key research activities including problem identification, literature review, methodology design, implementation, testing, and result analysis, culminating in the development of comprehensive technical reports, research papers, and functional solutions such as data-driven applications, AI models, or interactive game systems.
The process is guided by faculty mentors and supported by access to relevant tools, technologies, and learning resources, ensuring both academic rigor and practical relevance.
The dissertation experience emphasizes:
a) Research methodology and analytical thinking
b) Innovation and solution development
c) Technical documentation and professional communication
d) Outcome-driven learning with potential for publications, prototypes, or entrepreneurial ideas
This integrated approach ensures that students graduate with strong research capabilities and applied technical expertise, preparing them for higher studies, research roles, and innovation-driven careers in the evolving technology landscape.
The Capstone Project in the BCA programme with specializations in Data Science, Artificial Intelligence & Machine Learning, and Game Development represents the culmination of the academic journey, enabling students to integrate and apply their learning to solve real-world problems. Typically undertaken in the final year, this project allows students to work individually or in teams, combining knowledge from core subjects, specializations, and minor pathways to develop impactful solutions.
The Course of Independent Study (CIS) is a distinctive 3-credit academic pathway that offers students a valuable opportunity to engage in research-oriented learning through a faculty-mentored project in place of one course within their curriculum. Designed to nurture intellectual curiosity, innovation, and critical thinking, the course enables students to immerse themselves in hands-on research through laboratories, field-based work, or Centres of Excellence. Under close faculty guidance, students identify research problems, pursue structured inquiry, and develop meaningful academic outcomes. Credits are earned through consistent progress, active participation in review milestones, successful completion of the project, and the preparation and submission of a research paper to a Scopus-indexed journal, conference, or other approved scholarly platform?positioning students for early exposure to high-quality research and scholarly contribution.
The Industry Internship Programme in the BCA programme with specializations in Data Science, Artificial Intelligence & Machine Learning, and Game Development is a vital component designed to provide students with hands-on industry exposure and real-world experience in professional environments.
Embedded within the academic structure and typically undertaken in the advanced stages of the programme, the internship enables students to apply theoretical knowledge to practical, industry-relevant challenges, effectively bridging the gap between classroom learning and workplace expectations.
Students gain opportunities to work with IT companies, analytics firms, AI startups, gaming studios, and technology-driven organizations, engaging in live projects and collaborative environments. Depending on their specialization, students contribute to areas such as data analysis, machine learning model development, software application development, automation, game design, graphics, and immersive technologies.
The programme emphasizes:
a) Application of technical knowledge in real-world scenarios
b) Development of professional, communication, and teamwork skills
c) Exposure to industry tools, standards, and best practices
d) Enhanced employability through experiential learning
Guided by faculty and industry mentors, students are evaluated based on their performance, project contributions, and professional conduct, ensuring a structured and outcome-driven experience.
The Industry Internship Programme plays a crucial role in preparing students to transition confidently into professional careers, entrepreneurship, and innovation-driven roles, making them industry-ready graduates in a competitive technology landscape.
Mobile App Development Event-Code Catalyst
1M1B Green Internship-AICTE-Virtual Internship
National Skill Development Corporation
| Category | Eligibility Criteria |
|---|---|
| General | 10+2 from recognized Board / Council with minimum 50% marks. |
| Reserved Categories | 5% relaxation for SC / ST candidates |
| Entry Level | Program Duration |
|---|---|
| Entry Level | Four Years / Eight Semesters |
| Particulars | Indian Nationals | Foreign Nationals |
|---|---|---|
| Registration Fee (Fee for Learners Value Proposition Course Virtual) | ₹25,000 | $500 |
| First Installment | ₹2,25,000 | $2,925 |
| Second Installment | ₹2,50,000 | $3,425 |
| Third Installment | ₹2,50,000 | $3,425 |
| Fourth Installment | ₹2,50,000 | $3,425 |
| Total Program Fee (Includes registration + all installments) | ₹10,00,000 | $13,700 |
| Category | Eligibility | Benefits |
|---|---|---|
| Academic Excellence | Class X & XII ≥ 95% | 50% Tuition Fee Waiver |
| AUSAT Freeship | AUSAT ≥ 90% AND X & XII ≥ 60% | ₹50,000 Freeship (One-Time) |
| AUSAT Freeship | AUSAT 80–89.99% | ₹25,000 Freeship (One-Time) |
| CUET Scholarship | CUET ≥ 90% | 30% Tuition Fee Scholarship |
| CUET Scholarship | CUET 80–89.9% | 20% Tuition Fee Scholarship |
| CUET Scholarship | CUET 70–79.9% | 15% Tuition Fee Scholarship |
| Category-Based Scholarships | SC / ST ≥ 70% | 20% Tuition Fee Waiver |
| Category-Based Scholarships | Differently-Abled ≥ 50% | 50% Tuition Fee Waiver |
| Category-Based Scholarships | Defence & Paramilitary ≥ 70% | 15% Tuition Fee Waiver |
| Category-Based Scholarships | International-Level Player ≥ 50% | 100% Tuition Fee Waiver |
| Category-Based Scholarships | National-Level Player ≥ 50% | 50% Tuition Fee Waiver |
| Category-Based Scholarships | Domicile ≥ 70% | 5% Tuition Fee Waiver |
Learn more
| Steps | Description |
|---|---|
| Step 1 | Submit Online Application |
| Step 2 | Pay Application Fee — ₹1000 (US$50 for foreign nationals) |
| Step 3 | Appear for AUSAT (Alliance University Scholastic Aptitude Test) |
| Step 4 | Personal Interview |
| Step 5 | Final Selection based on overall performance |
Comfort, safety, and community form the foundation of campus living. Our residential halls are thoughtfully designed to create a sense of belonging—offering a welcoming environment where students can study, unwind, and build lifelong friendships.
Separate hostels
for boys and girls
Student-friendly
common areas
Spacious rooms
(single, double, or triple occupancy)
Dedicated wardens
and support teams
Four years / eight semesters.
10+2 with minimum 50% marks; AUSAT + Personal Interview.
Yes. Students participate in multiple hands-on projects including game design and graphics development.
Yes. Internships are encouraged with gaming studios, animation firms, and technology companies.
Game Developer, Graphics Animator, UI/UX Designer, VR/AR Developer, Software Developer, Data Analyst.
Yes. Merit-based, AUSAT freeships, CUET, and category-based scholarships.
Submit the online application and complete AUSAT and Personal Interview.
Yes. The program supports innovation and startup development mindset.