The AI/ML and Data Science programmes at Pragjyotishpur University equip students to build
intelligent machines, develop data-driven applications, and contribute ethically to a
technology-transformed society. Whether you choose the BCA or B.Sc. pathway, you gain a
cutting-edge combination of theoretical foundations and applied skills.
The BCA (Bachelor of Computer Applications) in AI/ML and Data Science develops application
developers and technology professionals with strong computing foundations, programming
skills,
and hands-on exposure to modern AI/ML tools and platforms.
Programme Outcomes — BCA
PO1
Computing Knowledge
Apply fundamental knowledge of mathematics, computing principles, programming languages, and computer applications to solve real-world problems.
PO2
Problem Analysis
Analyse computational problems, identify requirements, and formulate appropriate solutions using algorithmic and logical approaches.
PO3
Design & Development
Design, develop, and implement software solutions using suitable tools, technologies, and programming paradigms.
PO4
Modern Tool Usage
Use contemporary software development tools, platforms, and environments for application development, testing, and deployment.
PO5
Data Handling
Apply techniques for data storage, retrieval, processing, and visualisation using databases and information systems.
PO6
Professional Ethics
Understand and apply ethical principles, legal responsibilities, and professional standards in computing practices.
PO7
Communication Skills
Communicate effectively in written and oral forms, including technical documentation and presentations.
PO8
Teamwork & Leadership
Work effectively as an individual and as a member or leader of multidisciplinary teams.
PO9
Lifelong Learning
Recognise the need for continuous learning and adapt to emerging technologies and industry trends.
PO10
Career & Entrepreneurship
Demonstrate readiness for employment, higher education, or entrepreneurship in the IT and software industry.
The B.Sc. in Artificial Intelligence / Machine Learning / Data Science provides a rigorous,
science-oriented foundation in mathematical modelling, AI algorithms, deep learning, and
data analytics — preparing graduates for advanced research and industry roles.
Programme Outcomes — B.Sc.
PO1
Mathematical & Statistical Foundations
Apply mathematical, statistical, and probabilistic concepts to analyse and model data-driven problems.
PO2
Core AI/ML Knowledge
Demonstrate strong understanding of artificial intelligence, machine learning algorithms, data science workflows, and intelligent systems.
PO3
Data Analysis & Modelling
Analyse structured and unstructured data, build predictive and analytical models, and interpret results for informed decision-making.
PO4
Programming & Tools
Develop AI/ML and data science solutions using programming languages, libraries, frameworks, and modern computational tools.
PO5
Problem Solving
Identify complex real-world problems and apply appropriate AI/ML and data science techniques to solve them effectively.
PO6
Ethical & Responsible AI
Understand ethical issues related to data privacy, bias, fairness, and responsible use of AI technologies.
PO7
Research & Innovation
Apply research methodologies, conduct experiments, analyse outcomes, and contribute to innovation in AI and data-driven domains.
PO8
Communication & Visualisation
Communicate insights through effective reports, presentations, and data visualisations for technical and non-technical audiences.
PO9
Interdisciplinary Collaboration
Collaborate effectively in interdisciplinary teams involving data, technology, and domain experts.
PO10
Lifelong Learning & Career Readiness
Adapt to rapid technological advancements and pursue careers, higher education, or research in AI, ML, and Data Science.
Educational Objectives
Facilitate students to build intelligent machines and applications with a cutting-edge combination of machine learning and artificial intelligence.
Train graduates with strong knowledge, competence, and soft skills that allow them to contribute ethically to the needs of society.
Become lifelong learners by adapting multidisciplinary technologies to sustain their career.
Programme Specific Outcomes (PSOs)
1
Model computer-based systems and design algorithms that explore the tradeoffs involved in design choices.
2
Design and develop application software for real-world problems using Machine Learning and Deep Learning.
3
Apply knowledge of programming and algorithm design to develop solutions for engineering problems pertaining to ML.