Data Science and Analytics
Study Python, SQL, data analysis, visualization and business intelligence.
CU Online M.Sc 2026: Data Science & Mathematics Fees, Eligibility and Admission Guide
Build data science, analytics, artificial intelligence and advanced mathematics skills through Chandigarh University Online’s two-year Master of Science programmes.
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About CU Online M.Sc
Build Data Science, Analytics and Advanced Mathematics Skills
CU Online M.Sc is a two-year postgraduate programme designed for learners who want to develop advanced knowledge in data science, artificial intelligence, analytics, statistics, mathematics and applied problem-solving.
The programme is structured across four semesters and may suit graduates in mathematics, statistics, computer science, BCA, B.E./B.Tech. and related fields, as well as working professionals, analysts, researchers and educators.
Students can choose between M.Sc Data Science and M.Sc Mathematics, with learning areas including Python programming, SQL, machine learning, deep learning, data visualization, real analysis, linear algebra, differential equations and complex analysis.
2 Years
Programme duration
4
Academic semesters
Online
Learning mode
M.Sc
Postgraduate degree
80
Total credits
40+
Live sessions
Programme Highlights
Explore Data Science, AI, Analytics and Mathematics Learning
The programme combines data science, machine learning, analytics, statistics, mathematics, applied problem-solving and flexible online learning for analytical and technology-focused learners.
Machine Learning and AI
Explore machine learning, deep learning, applied AI and generative AI.
Big Data and Cloud
Build knowledge of big data, data engineering and cloud data concepts.
Advanced Mathematics
Study real analysis, linear algebra, differential equations and complex analysis.
Statistics and Modelling
Develop statistical methods, probability, optimization and mathematical modelling skills.
Flexible Online Learning
Access live sessions, recorded learning, digital study material and online academic activities.
Programme Information
Review Course Details Before Enrollment
Review the current curriculum, specialization availability, fee structure, admission requirements and assessment rules before applying for the programme.
Postgraduate Programme
A two-year Master of Science structured across four academic semesters.
Data Science and Mathematics Learning
Study data science, AI, analytics, statistics, mathematics and applied problem-solving.
Online Learning Mode
Access digital resources, online academic activities and programme-based assessments through the learning platform.
Eligibility
Who Can Apply for CU Online M.Sc?
For M.Sc Data Science, applicants generally need a bachelor’s degree in B.A., BCA, B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, B.E. or B.Tech., or an equivalent undergraduate degree with Computer Science, Mathematics or Statistics as a subject. For M.Sc Mathematics, applicants generally need a bachelor’s degree with Mathematics as a compulsory subject from a recognized board or university.
- Bachelor’s degree from a recognized board or university.
- For M.Sc Data Science: B.A., BCA, B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, B.E. or B.Tech. qualification.
- For M.Sc Data Science: equivalent undergraduate degree with Computer Science, Mathematics or Statistics.
- For M.Sc Mathematics: Mathematics as a compulsory subject in the bachelor’s degree.
- 10th, 12th and graduation marksheets and certificates.
- English-language ability for academic learning.
- Fresh graduates and working professionals may apply.
- International applicants may require additional equivalence documentation.
Learning Areas
Explore Data Science, AI, Analytics and Mathematics Learning Areas
The programme covers data science and analytics, AI and machine learning, big data and cloud, mathematics and statistics, research and problem-solving, and business and finance analytics.
Data Science and Analytics
Study Python, SQL, data analysis, visualization and business intelligence.
Data learning
AI and Machine Learning
Explore machine learning, deep learning, applied AI and generative AI.
AI learning
Big Data and Cloud
Study big data, data engineering and cloud data concepts.
Data infrastructure learning
Mathematics and Statistics
Study real analysis, linear algebra, statistics and mathematical modelling.
Mathematics learning
Research and Problem-Solving
Explore research methods, optimization and quantitative reasoning.
Research learning
Business and Finance Analytics
Study financial modelling, risk analysis and data-driven decision-making.
Business analytics learning
Fee Structure
CU Online M.Sc Fees 2026
Fee amounts, scholarship percentage, certification inclusions and EMI terms may vary according to the active admission cycle. Students should confirm the final payable amount and selected programme before enrollment.
| Programme | Standard Total Fee | Active Early-Bird Fee | Per-Semester Fee | Annual Fee |
|---|---|---|---|---|
| M.Sc Data Science | ₹1,46,668 | ₹1,10,001 | ₹27,500 | ₹55,001 |
| M.Sc Mathematics | ₹1,00,000 | ₹75,000 | ₹18,750 | ₹37,500 |
EMI Options
Explore Flexible M.Sc Payment Options
Students may explore no-cost EMI, annual-payment and semester-payment options through the available payment partners during admission. Monthly instalments, processing charges, interest conditions and final payable amount may vary according to the selected payment plan.
Early-Bird Scholarship
Up to 25%
applicable fee benefit, subject to active admission terms
Admission Process
How to Apply for CU Online M.Sc
Applicants can complete the admission process online by selecting the programme, submitting academic details and completing registration.
01
Select Programme
Choose the preferred M.Sc programme and specialization.
02
Complete Application
Enter personal details, contact information and academic details.
03
Upload Documents
Upload 10th, 12th and graduation certificates, marksheets, identity proof and photograph.
04
Pay Fee
Pay the applicable programme fee or select an available payment plan.
05
Registration
Complete submission and receive registration confirmation.
Curriculum Structure
CU Online M.Sc Syllabus
Explore the indicative semester-wise curriculum structure for the CU Online M.Sc Data Science and Mathematics programmes.
M.Sc Data Science
- Evolutionary Algorithms and Numerical Optimization
- Statistical Methods
- Design and Analysis of Algorithms
- Fundamentals of Programming — Python
- Database Management System
M.Sc Mathematics
- Real Analysis
- Linear Algebra
- Differential Equations
- Complex Analysis
- Statistical Methods
M.Sc Data Science
- Calculus and Linear Algebra for Data Scientists
- Data Analysis and Visualization
- Machine Learning
- Advanced Machine Learning
- Deep Learning
M.Sc Mathematics
- Advanced Algebra and Analysis
- Numerical Methods
- Mathematical Modelling
- Elective-Based Subjects
- Applied Mathematics Learning
M.Sc Data Science
- Specialization-Based Core Subjects
- Discipline-Specific Electives
- Applied Data Science Learning
- Case-Based Academic Activities
- Project-Based Learning
M.Sc Mathematics
- Specialization-Based Core Subjects
- Discipline-Specific Electives
- Applied Mathematics Learning
- Case-Based Academic Activities
- Project-Based Learning
M.Sc Data Science
- Specialization-Based Advanced Subjects
- Discipline-Specific Electives
- Capstone or Project-Based Learning
- Applied Analytics Learning
- Final Assessment
M.Sc Mathematics
- Specialization-Based Advanced Subjects
- Discipline-Specific Electives
- Capstone or Project-Based Learning
- Applied Research Learning
- Final Assessment
Examination Pattern
Online M.Sc Assessment Structure
Students complete academic activities during the semester and appear for online examinations as part of the programme evaluation process.
30%
Internal Assessment
Quizzes, assignments, projects, case-based activities and continuous academic learning.
70%
End-Term Examination
Online examination conducted through the university’s assessment platform with advanced proctoring technology.
1
Applied Learning Component
Data science assignments, mathematics case studies and skill-enhancement work form part of the programme structure.
Career Opportunities
Possible Career Directions After Online M.Sc
An Online M.Sc can provide a foundation for entry-level and analytical roles in data science, analytics, business intelligence, mathematics, statistics, finance, research and technology.
Data Science
Data Scientist, Data Engineer, Machine Learning Engineer and AI Engineer.
Data Analytics
Data Analyst, Business Intelligence Analyst, Reporting Analyst and Analytics Consultant.
Business Intelligence
BI Developer, BI Manager, Dashboard Analyst and Insights Analyst.
Mathematics and Statistics
Statistician, Quantitative Analyst, Research Analyst and Mathematical Modeller.
Finance and Risk
Financial Analyst, Risk Analyst, Investment Analyst and Credit Analyst.
Research and Academia
Research Associate, Academic Researcher, Teaching Assistant and Education Content Specialist.
Career Support
Develop Your Academic and Professional Profile
Students may access career-related learning and employability resources to support profile development and interview readiness.
- Resume and professional-profile guidance.
- Mock interviews and interview preparation.
- Career counselling and role guidance.
- Skill assessments and employability workshops.
- Data science, analytics and mathematics learning sessions.
- Selected job-search and hiring-related opportunities.
- Professional-development learning resources.
M.Sc Science Learning
Build Data Science, Analytics and Advanced Mathematics Skills Through an Online M.Sc
Explore data science, artificial intelligence, analytics, statistics, mathematics and applied problem-solving through flexible postgraduate programmes designed for analytical and technology-focused learners.
The programme combines subject-specific learning with assignments, case studies, projects and skill-enhancement work to support further study and professional growth.
- Study Python, SQL and data analysis.
- Develop machine learning and AI knowledge.
- Explore big data, visualization and analytics.
- Build advanced mathematics and statistical skills.
- Complete specialization-based learning and projects.
Check Out Top Online Universities for Admission 2026
| University | Student Review | Advantage | Location | Accreditation |
|---|---|---|---|---|
| Amity University | ★★★★ 4/5 | Industry Mentorship | Noida, Uttar Pradesh | UGC | NAAC A+ |
| NMIMS Institute | ★★★★ 4/5 | Certification Access | Mumbai | UGC | NAAC A+ |
| Lovely Professional University | ★★★★ 4/5 | Virtual Job Fair | Phagwara, Punjab | UGC | NAAC A++ |
| Sikkim Manipal University | ★★★★ 4/5 | Scholarship Opportunity | Gangtok, Sikkim | UGC | NAAC A+ |
| Manipal University | ★★★★ 4/5 | Certification Access | Jaipur, Rajasthan | UGC | NAAC A+ |
| DY Patil University | ★★★★ 4/5 | Certification with NYU | Pune, Maharashtra | UGC | NAAC A++ |
| Chandigarh University | ★★★★ 4/5 | Harvard Certifications | Ajitgarh, Punjab | UGC | NAAC A+ |
| OP. Jindal University | ★★★★ 4/5 | Industry Mentorship | Sonipat, Haryana | UGC | NAAC A |
| SRM University | ★★★★ 4/5 | Industry Mentorship | Sonipat, Haryana | UGC | NAAC A |
FAQ's | Frequently Asked Questions
Q1. What is the duration of CU Online M.Sc?
CU Online M.Sc is a two-year postgraduate programme divided into four semesters. Both M.Sc Data Science and M.Sc Mathematics follow this structure and carry 80 total credits.
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Q2. What is the eligibility for CU Online M.Sc Data Science?
Applicants generally need a bachelor’s degree in B.A., BCA, B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, B.E. or B.Tech., or an equivalent undergraduate degree with Computer Science, Mathematics or Statistics as a subject from a recognized board or university.
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Q3. What is the eligibility for CU Online M.Sc Mathematics?
Applicants generally need a bachelor’s degree with Mathematics as a compulsory subject from a recognized board or university. Students should confirm the current eligibility, minimum-marks requirement and document requirements before applying.
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Q4. What is the fee for CU Online M.Sc?
The standard fee for M.Sc Data Science is ₹1,46,668, while the active early-bird fee is ₹1,10,001. The standard fee for M.Sc Mathematics is ₹1,00,000, while the active early-bird fee is ₹75,000.
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Q5. What career roles can students explore after CU Online M.Sc?
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