
Shoolini Online MCA in Data Science

Course Overview
Shoolini University’s Online MCA in Data Science is a 2-year programme tailored for graduates and working professionals seeking advanced expertise in analytics, machine learning, big data and AI-driven decision making. The curriculum integrates core computing modules with data science essentials such as predictive modelling, statistical learning, deep learning, visualization and data engineering. This UGC‑entitled online degree combines recorded classes, live sessions and industry mentorship ideal for busy learners. Graduates can step into roles across data science, analytics engineering, business intelligence, data engineering or research-focused domains.
Course Highlights
Comprehensive DS Curriculum: Covers modeling, ML, deep learning and visualization
Real-World Capstone Projects: Hands-on projects supervised by mentors
Big Data Tools Exposure: Work with Hadoop, Spark and Kafka
Cloud Analytics & MLOps: Learn deployment and monitoring on cloud
Flexible Learning Format: Recorded and live sessions
Bridge Support: Assistance for weaker math backgrounds
Domain Electives: Choose sector-focused use cases
Career Support & Internships: Placement backing and project linkage
Course
Benefits
CourseConnect Benefits
What additional you get from CourseConnect
Mock Interview➔
Resume Building➔
Alumni Network➔
Career Guidance➔
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Eligibility
- »
Bachelor’s degree in any discipline, minimum 50% marks
- »
International students: 60% minimum
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Bridge course if lacking mathematics foundation

Course
Fees


Total 2 semester
INR 50,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,00,000
*Inclusive of all taxes
EMI starting at
INR 2,778 / Month
*Terms & Conditions apply
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Course Syllabus
| S.No | Credit | Subject |
|---|---|---|
| 1 | SMCA101 | Programming & Python Foundations |
| 2 | SMCA102 | Data Structures & Algorithms |
| 3 | SMCA103 | Probability & Statistics |
| 4 | SMCA104 | Database Systems |
| 5 | SMCA105 | Introduction to Data Science |
| S.No | Credit | Subject |
|---|---|---|
| 1 | SMCA201 | Supervised & Unsupervised Learning |
| 2 | SMCA202 | Machine Learning Algorithms |
| 3 | SMCA203 | Statistical Modeling & Inference |
| 4 | SMCA204 | Data Visualization & Tools |
| 5 | SMCA205 | Big Data Fundamentals |




















