Eligibility

• 12th Pass (HSC) with minimum 50–55% marks
• Mathematics / Statistics preferred
• Students from Science / Commerce streams eligible

Course Pattern

3 Years + 1 Year Honours (as per NEP)

Admission Procedure

• Collect prospectus from college
• Fill application form
• Submit documents for verification
• Admission based on merit / entrance (if applicable)

Admission Period

• Without Late Fee: 16th March
• With Late Fee: 31st March
• Without Late Fee: 16th August
• With Late Fee: 31st August

Course Structure

• Year 1 - Foundation
• Year 2 - Core Data Science
• Year 3 - AI & Machine Learning
• Year 4 - Advanced AI & Projects

Syllabus Highlights

• Programming in Python
• Statistics & Probability
• Data Visualization
• Machine Learning
• Deep Learning
• Artificial Intelligence
• Big Data Analytics
• Cloud Computing

Tools & Technologies

• Python, R
• TensorFlow, PyTorch
• SQL, MongoDB
• Power BI / Tableau
• Hadoop / Spark

Examination Schedule

• Semester I or II: November – December
• Semester I or II: April – May

Course Outcomes

• Strong foundation in data science concepts
• Ability to build machine learning models
• Data analysis and visualization skills
• Real-world problem solving using AI

Passing Criteria

Minimum 40% marks in each subject

Value Added

Industry projects, internships, soft skills training and certification programs included.

Career Scope & Job Opportunities

• Data Scientist
• Data Analyst
• AI Engineer
• Machine Learning Engineer
• Business Analyst
• Big Data Engineer
• Software Developer

Higher Education

• M.Sc. Data Science
• M.Sc. Artificial Intelligence
• MCA
• MBA (Analytics / IT)