Master the Future: M.Sc. Artificial Intelligence and Data Science at CUAP 🧠💻
A specialized Postgraduate Programme based on the UGC Credit Framework (NEP 2020) at the Central University of Andhra Pradesh.
Program Essentials: Key Information
🎓 Eligibility and Duration
| Feature | Details |
|---|---|
| Duration | A Two-year programme (4 semesters). |
| Total Credits | Approximately 102 Credits. |
| Eligibility | Bachelor's degree with 50% marks, with Mathematics and Physics as compulsory subjects, OR B.E./B.Tech. (any branch) with 50% aggregate. |
| Maximum Duration | 4 academic years (8 semesters). |
💡 Program Objectives
The course aims to prepare students with the dual knowledge of AI and Data Science:
- To impart fundamental and technical skills in various aspects of AI and Data Science.
- To familiarize students with developments in Data Visualization, Machine Learning Models, and industry AI applications.
- To prepare graduates for a definitive career path in Artificial Intelligence and Data Science.
Core Structure and Specialized Learning
The curriculum blends core knowledge with specialized electives, multidisciplinary courses, and essential project work.
Key Highlights:
- Core Subjects: Mathematics for Data Science, Artificial Neural Networks (ANN), Big Data Analytics, Machine Learning, Deep Learning, Natural Language Processing (NLP).
- Practical Exposure: Skills are enhanced through **System Building Labs** in Semesters I, II, and III.
- MOOCs: One **MOOCs Course** is mandatory in each of the first three semesters.
- Electives: Includes multidisciplinary electives (IDE) and specialized electives (e.g., Fundamentals of Generative AI, Robotics).
Detailed Syllabus Preview
View the complete course structure, credits, and semester-wise subjects in the syllabus document below:
View Full Syllabus PDF (W.e.f. AY 2024-25)
Research, Internship, and Assessment
🔬 Research and Practical Exposure
- Summer Internship (2 Credits): A mandatory two-month internship is required after Semester II.
- Project Work/Dissertation (16 Credits): The final Semester IV is entirely dedicated to the Dissertation, with an expectation to **publish/present one paper** in a conference or journal.
📝 Assessment and Passing Criteria
- Passing Marks: A minimum of **40% marks** is required to pass any course.
- Separate Pass Rule: Students must pass separately in both the Continuous Internal Assessment (CIA) and the End Semester Examination (ESE).
- Attendance: Minimum **75% attendance** is mandatory.
Career Opportunities 💼
Graduates are well-prepared to become leaders in technology, healthcare, finance, and data-driven fields. Potential roles include:
- AI Specialist / Consultant
- Data Scientist / Data Analyst
- Machine Learning Engineer
- Big Data Architect
- Research Scholar (for pursuing Ph.D.)
