The Industry Certifications component of the BCA programme is a key differentiator, designed to bridge the gap between academic learning and industry expectations by integrating globally relevant, skill-based certifications into the curriculum. This initiative enables students to acquire industry-validated competencies that complement their theoretical knowledge and significantly enhance employability.
The programme offers a curated set of certifications aligned with emerging technology domains:
MongoDB Database Administrator
This certification equips students with expertise in NoSQL database management, including database design, indexing, performance optimization, backup and recovery, and handling large-scale data systems. It prepares students for roles in data engineering, backend development, and database administration.
Salesforce AI Associate
This certification provides exposure to AI-powered CRM solutions within the Salesforce ecosystem. Students learn concepts such as AI-driven business processes, automation, data-driven decision-making, and customer relationship management, enabling them to understand real-world enterprise applications of AI.
UiPath – Automation Developer Associate Certification
Focused on Robotic Process Automation (RPA), this certification enables students to design and develop automation workflows. It covers automating repetitive processes, system integration, and improving operational efficiency, preparing students for roles in automation and digital transformation.
A unique aspect of this framework is its flexible dual-pathway model:
a) Students can pursue direct global certifications, gaining industry recognition and academic credit upon successful completion
b) Alternatively, a structured academic evaluation pathway ensures fair assessment through internal and semester evaluations
The Industry Certifications framework emphasizes:
a) Alignment with industry standards and emerging technologies
b) Hands-on, application-oriented learning
c) Enhanced employability and competitive advantage
d) Continuous professional development and lifelong learning
By embedding certifications within the curriculum, the programme ensures that graduates are not only academically proficient but also industry-ready professionals equipped to thrive in a rapidly evolving digital landscape.
The AI/ML (Artificial Intelligence / Machine Learning) Honors program is an undergraduate degree program that focuses on computer applications and advanced techniques in artificial intelligence and machine learning. This specialized program is designed to provide students with a deep understanding of AI/ML concepts, algorithms, and applications, preparing them for careers in cutting-edge fields such as data science, artificial intelligence, and robotics.
This program equips students with the theoretical knowledge, practical skills, and hands-on experience needed to excel in the rapidly growing field of artificial intelligence and machine learning. Graduates are prepared to pursue careers as AI/ML engineers, data scientists, research scientists, and AI consultants in a wide range of industries.
Duration
Four Years / Eight Semesters
Why Choose
BCA-AIML
at Alliance University?
BCA-AIML
at Alliance University?
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Strategic Professional Readiness
To equip students with a well-rounded skill set, preparing them for a successful career in Artificial Intelligence/Machine Learning fields.
Core Theoretical & Ethical Framework
To provide students with a comprehensive understanding of the theoretical foundations, practical applications, and ethical considerations of AI and ML technologies.
Foundational Theoretical Mastery
Demonstrate a comprehensive understanding of the theoretical principles, algorithms, and methodologies underlying artificial intelligence and machine learning.
Technical Programming Proficiency
Exhibit proficiency in programming languages commonly used in AI and ML development, such as Python, R, and associated libraries and frameworks.
Applied Analytical Problem-Solving
Analyze complex problems, identify suitable AI/ML techniques, and develop innovative solutions to address real-world challenges across various domains.
| 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
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University Core
University Core courses provide interdisciplinary and value-based education common to all undergraduate students across disciplines. These courses promote constitutional values, Indian knowledge systems, sustainability, critical thinking, entrepreneurship, and social responsibility as envisaged under NEP and UGCF guidelines.
Minors
The program electives in the BCA Hons programme with specializations in Data Science, Artificial Intelligence & Machine Learning, and Game Development are designed to provide students with additional domain expertise beyond their chosen specialization, enabling them to build interdisciplinary skills aligned with evolving industry demands.
Introduced as a structured academic pathway from the second year onwards, minors offer flexibility for students to customize their learning journey based on their interests and career aspirations. This approach allows learners to complement their major specialization with emerging technology domains, enhancing both depth and versatility.
Students can choose from a wide range of minor tracks such as Cyber Security, Cloud Computing, Full Stack Development, Internet of Things (IoT), Business Analytics, UI/UX Design, and Software Product Development, among others, ensuring alignment with current industry trends and innovation areas.
The Minor Pathways emphasize:
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Specialized skill development in high-demand domains
-
Hands-on learning through labs, mini-projects, and real-world applications
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Integration of industry certifications and practical tools
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Enhanced employability through multi-domain expertise
By complementing the Program Core and chosen specialization, the Minor Pathways enable students to graduate with multi-disciplinary competencies, making them adaptable, industry-ready professionals prepared for diverse roles in the IT ecosystem or higher studies.
Minors List:
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Aeronautics
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Astronautics
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Unmanned Aerial Vehicles (UAV)
-
Avionics
-
Structural Engineering
-
Geoenvironmental & Infrastructure Engineering
-
Nature Based Solutions
-
Sustainable Technology
-
Smart Systems
-
Game Development
-
Business Systems
-
Quantum Computing
-
Data Science
-
Software Product Development
-
Artificial Intelligence & Futuristic Technologies
-
Artificial Intelligence & Machine Learning
-
Cyber Security
-
iOS Application Development
-
Data Engineering
-
Full Stack Development
-
Cloud Computing
-
Natural Language Processing and Text Analytics Systems
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Computer Vision and Image Analysis
-
AI in Autonomous Systems
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Blockchain Technologies
-
Internet of Things
-
DevOps
-
Immersive Technology
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Advanced AI and Blockchain
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AI for Healthcare and Life Sciences
-
AI for Robotics and Automation
-
Cybersecurity and Privacy in AI
-
Data Analytics
-
Embedded System and IoT
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Next Generation Wireless Communication Systems
-
VLSI Design
-
Bio Medical Engineering
-
Automotive Electronics
-
Semiconductor Technology
-
Electric Vehicle Technology
-
Energy Management and Audit
-
Smart Grid and E-Mobility
-
Green Technology
-
Robotics and Automation
-
Smart Manufacturing Technology
-
Performing Arts and Creative Technologies
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Business Studies
-
Computer Science
-
Data Science
-
Economics
-
Fine Arts
-
Literary & Cultural Studies
-
Media & Film Studies
-
Political Science
-
Psychology
-
Sociology
-
Chemistry
-
International Relations
-
Mathematics
-
Philosophy
-
Physics
-
Public Policy
PEO (Program Educational Objectives)
PEO 1:
To equip graduates with a strong foundation in computing principles and emerging technologies, enabling them to design, develop, and innovate scalable and intelligent solutions
PEO 2:
To develop graduates with leadership, problem-solving, and entrepreneurial skills to drive technological advancements and contribute to industry, research, and startup ecosystems
PEO 3:
To instill ethical responsibility, sustainability, and a commitment to using technology for addressing global and societal challenges.
PEO 4:
To cultivate expertise in AI and ML algorithms, enabling graduates to build intelligent and adaptive systems
PSO (Program Specific Outcomes)
PSO 1:
To design, implement, and optimize intelligent, secure, and scalable computing solutions by integrating emerging technologies.
PSO 2:
To apply computational thinking and interdisciplinary knowledge to develop innovative, ethical, and sustainable technology solutions that address real- world societal and industrial challenges.
PSO 3:
To develop machine learning models that enhance automation, personalization, and decision support in various domains
PO (Program Outcomes)
PO 1:
Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO 2:
Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO 3:
Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO 4:
Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
PO 5:
Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO 6:
The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
PO 7:
Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO 8:
Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO 9:
Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO 10:
Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO 11:
Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8).
Activity Points
The Activity Points Program is designed to encourage involvement in co-curricular, extracurricular, and community activities beyond academics. It helps students develop valuable life skills, explore interests, and make the most of their time at the institute. Students must earn a minimum of 100 Activity Points per semester from Semester 1 to Semester 6 by participating in approved activities such as clubs, cultural events, sports, and community service. Maintaining a qualifying grade in Activity Points is mandatory for successful completion of the academic program, with a total requirement of 600 points.
Program Core
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:
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Problem-solving and computational thinking
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Application development and system design skills
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Efficiency, optimization, and scalability of solutions
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Use of modern tools, frameworks, and technologies
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.
Ability Enhancement Courses (AEC)
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:
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Effective communication and interpersonal skills
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Analytical reasoning and problem-solving abilities
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Digital literacy and tool-based competencies
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Career readiness and professional development
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 (SEC)
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:
- Research methodology and analytical thinking
- Innovation and solution development
- Technical documentation and professional communication
- 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:
- Application of technical knowledge in real-world scenarios
- Development of professional, communication, and teamwork skills
- Exposure to industry tools, standards, and best practices
- 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.
STUDY ABROAD OPTIONS
International Mobility
Experience global education through our international study opportunities designed to broaden academic perspectives and cultural understanding. These programmes enable students to study at partner universities abroad, gain international exposure, and develop the global competencies needed to succeed in an interconnected world.
An opportunity that lets students begin their degree at Alliance University (1 or 2 years) and then transfer to a foreign university to complete and earn their degree internationally.
Explore the World: Study a semester abroad, earn transferable credits, and gain global insights while experiencing a new culture and expanding your skills.
Alliance University welcomes students from across the world to study, collaborate, and thrive in a truly global learning ecosystem. We combine academic rigour with industry exposure, modern infrastructure with personalised support, and global perspectives with Indian values.
Recognising Effort, Celebrating Success
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ANIKETHANA 2026_MCC
02
Athlon 2026 Dayanada Sagar University Volleyball
03
Athlos
04
Azim Premji - Kabbadi
05
Azim Premji - Table Tennis
06
Ideathon - Regalia 2026 _Acharya College
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Kalarava
08
Parakram 2026 - NMIMS University_Volleyball
| Category | Eligibility Criteria |
|---|---|
| General | 10+2 from recognized Board / Council with minimum 50% marks. |
| Reserved Categories | 5% relaxation for SC / ST candidates |
Program duration
| Entry Level | Program Duration |
|---|---|
| Entry Level | Four Years / Eight Semesters |
ACCEPTED TEST SCORES
| 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 |
Start your application now
Living Spaces That Inspire Belonging
EXPLORE OUR HOSTELS
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
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Dedicated wardens
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Everything You Need to Know
What kind of faculty members teach in this programme?
The BCA (Honours) in Artificial Intelligence and Machine Learning at Alliance University is taught by highly qualified faculty members with strong academic and research backgrounds. Many specialise in areas such as machine learning, edge computing, data analytics, and software engineering, while also contributing to ongoing research and publications. Their blend of academic expertise and industry exposure ensures that students receive both theoretical foundations and practical insights.
Are there any international exchange or study abroad opportunities for this programme?
Yes. Alliance University has established academic partnerships with reputed universities in the United States, Russia, France, Europe, and Asia, facilitating student exchange and study abroad opportunities. These initiatives provide global exposure, broaden perspectives on technology and innovation, and enhance the overall learning experience for BCA (Honours) students.
What hands-on learning opportunities, like AI projects or industry collaborations, does this programme offer?
Students enrolled in the BCA (Honours) in AI and ML programme are encouraged to apply their knowledge through hands-on projects, hackathons, and collaborations with industry partners. These experiential learning opportunities help them design intelligent systems, work with real-world datasets, and develop solutions to contemporary technological challenges.
Who is eligible to apply for the BCA (Honours) in AI and ML programme?
Applicants must have successfully completed 10+2 or an equivalent examination from a recognised Board with the minimum aggregate marks specified in the admissions policy of Alliance University. The programme welcomes students with an interest in computing, logical reasoning, and emerging technologies.
What certifications or workshops are offered along with the programme?
The BCA (Honours) in AI and ML is complemented by industry-recognised certifications, specialised workshops, and career development initiatives. Students are trained in emerging tools and frameworks through skill-based workshops, while the Career Advancement and Networking (CAN) cell facilitates sessions on employability skills and professional development.
Are internships and placement opportunities available for students?
Yes. The programme includes strong support for internships and placements through Alliance University’s Career Advancement and Networking (CAN) cell. Students benefit from collaborations with leading technology companies, consulting firms, and start-ups, providing opportunities in roles such as AI Engineer, Data Scientist, and Machine Learning Specialist.
Does the programme include training in Machine Learning and Big Data technologies?
Yes. The curriculum provides comprehensive training in Machine Learning techniques and Big Data technologies. Students explore algorithms, predictive modelling, and neural networks while working with tools that process and analyse large-scale data effectively.
What is the scope of pursuing this programme?
Graduates of the BCA (Honours) in AI and ML programme are equipped with advanced skills in data science, artificial intelligence, and analytics. This prepares them for careers in AI system design, predictive analytics, automation, and software development, while also providing a strong foundation for higher studies and specialised research.
What subjects and tools are covered in the AI and ML specialisation?
The specialisation covers core subjects in computer science, programming, machine learning, and artificial intelligence, supported by practical labs and project-based learning. Students are introduced to industry-standard tools and frameworks to ensure workplace readiness.
Do students get trained in Python, R, SQL, and other programming languages relevant to AI and ML?
Yes. The curriculum provides extensive training in programming languages widely used in data science and artificial intelligence, including Python, R, SQL, and related technologies applied to real-world datasets and AI/ML problem-solving.
What is the duration and structure of the programme?
The BCA (Honours) in AI and ML is a four-year undergraduate programme structured across eight semesters. The structure balances foundational courses, advanced electives, laboratory sessions, certifications, and industry internships, culminating in a comprehensive capstone project.
Are scholarships or financial aid available for students?
Yes. Alliance University offers a range of merit-based scholarships and financial aid opportunities for deserving candidates. Scholarships are awarded based on academic performance, entrance examination scores, and other criteria outlined by the University.
What facilities support students in this programme?
Students have access to advanced computing laboratories, specialised AI and data science labs, cloud computing hubs, collaborative learning spaces, a well-resourced central library, digital databases, and high-speed connectivity for academic and research activities.
How does the placement cell support graduates in securing jobs at leading firms?
Alliance University’s Career Advancement and Networking (CAN) cell supports students through skill-building workshops, mentorship programmes, industry collaborations, and dedicated placement assistance, preparing graduates for opportunities with leading organisations such as Deloitte, IBM, and Infosys.
How can I connect with alumni of the programme for career insights?
Students can connect with alumni through the Alliance Alumni Association portal, professional networking platforms such as LinkedIn, and events facilitated by the Career Advancement and Networking (CAN) cell to gain mentorship, industry insights, and professional guidance.
What is the duration of the BCA (Honours) program?
Four years / eight semesters.
What are the eligibility requirements?
10+2 with minimum 50% marks; AUSAT + Personal Interview.
Does the program include project-based learning?
Yes. Students participate in multiple hands-on projects including game design and graphics development.
Are internships available?
Yes. Internships are encouraged with gaming studios, animation firms, and technology companies.
What career roles can graduates pursue?
Game Developer, Graphics Animator, UI/UX Designer, VR/AR Developer, Software Developer, Data Analyst.
Are scholarships available?
Yes. Merit-based, AUSAT freeships, CUET, and category-based scholarships.
How do students apply?
Submit the online application and complete AUSAT and Personal Interview.
Is entrepreneurial learning encouraged?
Yes. The program supports innovation and startup development mindset.
