Central University of Andhra Pradesh (CUAP) B.Sc. (Hons.) Computer Science and Artificial Intelligence
A Detailed Look at the NEP 2020 Aligned Programme (W.e.f. AY 2024-25)
Programme Introduction & Objectives
The **B.Sc. (Hons.) Computer Science and Artificial Intelligence** is a new undergraduate program offered by CUAP starting from the **2024-25 academic year**. This is an **interdisciplinary field** combining core computer science with cutting-edge AI technologies.
Programme Goals:
- To provide a comprehensive understanding of computer science principles coupled with specialized knowledge in AI technologies.
- To foster critical thinking and problem-solving skills through practical applications and real-world challenges in CS and AI domains.
- To prepare graduates for successful careers in technology, data science, robotics, and AI research.
Structure, Duration, and Eligibility
- Duration: Four-year course divided into **eight semesters** .
- Total Credits: Around **169 credits** .
- Curriculum Components: Includes Core Courses (Major), Minor Courses, Inter-disciplinary Electives (IDE), AEC, SEC, and VAC.
- Exit Option: Designed as per NEP guidelines with **multiple exit options**.
- Eligibility: A minimum of **50% marks in 10+2** with **Mathematics** as one of the optional subjects.
Key Practical Components:
- Summer Internship (2 Credits): Mandatory two-month internship after **Semester IV**, with report submission in Semester V.
- Dissertation (12 Credits): Students undergo Project Work / Dissertation in **Semester VIII**.
Detailed Syllabus and Programme Structure
The following embed provides the full course structure, including Major, Minor, and Elective course titles for all eight semesters.
View Full Syllabus PDF (W.e.f. AY 2024-25)
Semester Wise Course Highlights
The programme covers foundational knowledge in early semesters and advanced, specialized topics in later years:
Initial Foundation (Semesters I-IV):
- Semester I Core: Computer Fundamentals & Programming in C, Discrete Mathematics.
- Semester I Minor: Fundamentals of AI and Applications.
- Semester II Core: Introduction to OOPs Using C++, Web Technologies.
- Semester II Minor: Introduction to Machine Learning.
- Skill Courses: Modern English Grammar & Pronunciation (SEC), Academic Writing (SEC), Introduction to Python Programming (SEC).
- Value Added Courses: Indian Knowledge System (VAC), Ecology & Environment (VAC), Climate Change (VAC).
Advanced Specialization (Semesters V-VIII):
- Semester IV Core: Operating Systems, Fundamentals of Data Structures, Natural Language Processing.
- Semester V Core: Database Management Systems, Fundamentals of Data Science using Python, Design and Analysis of Algorithms, Basics of Cloud Computing.
- Semester V Minor: Ethics and Social Implications of AI.
- Semester VI Core: Data Mining & Data Warehousing, Computer Networks, Introduction to Information Security.
- Semester VII & VIII Electives (Examples): Mobile Application Development, Introduction to Blockchain Technology, Fundamentals of Generative AI, Introduction to Robotics, Speech Recognition Systems.
Career and Assessment Details
Career Pathways:
Graduates are prepared for diverse career paths in **technology, healthcare, finance, gaming, robotics, and AI research**. They will be proficient computer scientists and AI specialists, ready to innovate and shape the future of technology.
Key Assessment Notes (Pass Criteria):
- Minimum Pass Marks: **40%** in a course.
- **Pass Requirement:** Students must pass separately in both Continuous Internal Assessment (CIA) and the End Semester Examination (ESE).
- Attendance Rule: Students should attend at least **75%** of classes/practicals in each course.