Bachelor of Science (B.Sc.) in AI, Data Science and Cloud Computing
Duration
3 Years Full-Time Programme
Eligibility
Candidates who have passed 10+2 / PUC or an equivalent examination, having studied at least two subjects from Mathematics, Computer Science, Statistics, or Physics, and have secured a minimum of 40% aggregate marks are eligible.
The B.Sc. in AI, Data Science and Cloud Computing programme includes foundational courses in programming and mathematics, followed by specialised topics such as machine learning, data analytics, big data technologies, and cloud computing. It emphasises hands-on learning through laboratories, case studies, projects, and internships. Students gain experience in designing and deploying scalable applications. The curriculum also develops analytical thinking, innovation, teamwork, communication, and ethical responsibility, preparing graduates for specialised roles and higher studies.
Programme Overview
The B.Sc. in AI, Data Science and Cloud Computing programme offers a specialised undergraduate pathway focused on data-driven and intelligent technologies. It prepares students to work with modern tools and platforms used in analytics, artificial intelligence, and cloud environments.
Course Curriculum
01Linear Algebra and Calculus - MAT1201
02Problem Solving using C - CSC1500
03Problem Solving using C Lab - CSC1501
04Digital Computer Fundamentals - CSC1505
05Computational Thinking - CSC1502
06Web Design and Development - CSC1504
07Foundations of English Communication - ENG1902
08Introduction to Soft Skills - PPS1001
01Programming in Python - CSC1503
02Probability and Statistical Methods - MAT1202
03Data Structures - CSC2504
04Data Structures Lab - CSC2505
05Essentials of Writing Skills - ENG1913
06Computer Networks - CSC2506
07Computer Organization - CSC1506
01Relational Database Management Systems - CSC2507
02Relational Database Management Systems Lab - CSC2508
03Object-Oriented Programming using Java - CSC2500
04Discrete Mathematics - CSC2509
05Analysis of Algorithms - CSC2510
06Analysis of Algorithms Lab - CSC2511
07Operating Systems - CSC2512
08Unix Programming - CSC2513
09Data Modelling & Visualisation - CSC2501
10Environmental Studies - CHE7601
01Principles of Artificial Intelligence - CSC2514
02Android Mobile Application Development - CSC2502
03Data Mining and Data Warehousing - CSC2515
04Essentials of Cloud Computing - CSC2516
05Software Engineering - CSC2517
06Discipline Specific Elective – I - CSAXXXX
07Discipline Specific Elective – II - CSAXXXX
08Problem Solving through Aptitude - PPS3001
09Universal Human Values - CIV7601
01Machine Learning - CSC2518
02Machine Learning Lab - CSC2523
03Discipline Specific Elective – III - CSCXXXX
04Discipline Specific Elective – IV - CSCXXXX
05Big Data Analytics - CSC2519
06Internet of Things - CSC2503
07Multi-Disciplinary Elective – I - XXXXXXX
08Summer Internship - CSC7000
01Discipline Specific Elective – V - CSCXXXX
02Discipline Specific Elective – VI - CSCXXXX
03Project - CSC7300
Programme Educational Objectives
After 2-3 years of successful completion of the programme, graduates will:
PEO01: Establish themselves as competent professionals or pursue higher education by applying technical knowledge, analytical thinking, and problem-solving skills in the field of computer applications.
PEO02: Demonstrate ethical responsibility, strong communication skills, and a commitment to lifelong learning by adapting to emerging technologies and evolving industry practices.
PEO03: Lead and contribute to project teams in designing and implementing innovative software solutions that support organisational and societal needs.
Programme Outcomes (POs)
On successful completion of the Program, the students shall be able to:
PO1 (Foundation Knowledge): Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.
PO2 (Problem Analysis): Identify, review, formulate and analyse problems, primarily focusing on customer requirements using critical thinking frameworks.
PO3 (Development of Solutions): Design, develop and investigate problems with an innovative approach for solutions incorporating ESG/SDG goals.
PO4 (Modern Tool Usage): Select, adapt and apply modern computational tools, such as developing algorithms with an understanding of the limitations, including human biases.
PO5 (Individual and Teamwork): Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups. Use methodologies such as agile.
PO6 (Project Management and Finance): Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.
PO7 (Ethics): Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cybersecurity and insulate customers from malware.
PO8 (Life-long learning): Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.
Programme Specific Outcomes
On successful completion of the programme, students shall be able to:
PSO1: Design and develop software solutions for complex real-world problems in specialised domains such as Full-Stack Development, Artificial Intelligence, and Cybersecurity by applying software engineering principles and advanced programming skills.
PSO2: Identify, analyse and implement use cases across diverse sectors, including Healthcare, Agriculture, Banking, and Insurance, by utilising modern tools, effective teamwork, and project management practices.
PSO3: Demonstrate professional ethics, embrace lifelong learning of emerging technologies, and actively contribute to the field of computer applications.
+91 9022092222
admission@presidencyuniversity.in
Rajanukunte, Yelahanka, Bengaluru, Karnataka, Pin: 560119, India
+91 9022092222