Chitkara Online MBA in Data Science & AI
Course Overview
Chitkara University Online offers this 2-year MBA. AICTE, UGC, and NAAC A+ back this degree. Students study through Chitkara's official online portal.
This MBA covers Data Analytics and AI-driven Strategy. You also study Business Intelligence. Machine Learning basics round out the mix.
Students build data-driven decision-making skills fast. Live lectures and case studies support this well.
Grads unlock roles blending business leadership with data skills. Analytics and AI-strategy roles round out career options.
Accreditations
Chitkara University is NAAC A+ accredited (CGPA 3.26) and ranked NIRF #78 in Management. This online program is UGC-DEB approved and AICTE approved.
NAAC A+
DEB
NIRF
AACSB
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- Chitkara holds AICTE, UGC, and NAAC A+ accreditation. NIRF ranks Chitkara 54th for management programmes.
- This MBA ranks among the highest-demand specializations for 2026. That reflects strong current market growth.
- Live online lectures and interactive sessions run throughout. Real-world data and AI case studies deepen every module.
- A bachelor's degree with 50% marks gets you in. Apply now through Chitkara's official online admission portal.
- The July 2026 session admission deadline is 31 May 2026. Confirm the current cycle date directly with Chitkara.
- Fee runs ₹62,500 per semester, ₹2,50,000 total. This reflects the specialized, tech-heavy curriculum.
Course Benefits
Earn an AICTE and UGC recognised MBA in Data Science and AI from Chitkara University. This degree blends business and tech leadership skills.
Build data-driven strategy skills fast. These skills unlock analytics and AI-leadership roles.
Complete this MBA online without pausing your career. Live sessions fit full-time work schedules.
Access Chitkara's placement network and career services. This support strengthens your tech-career transition.
Course Fees
The fee structure for this Chitkara Online MBA in Data Science & AI is designed to be affordable and flexible for both freshers and working professionals
Total 4 semester
INR 50,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 2,00,000
*Inclusive of all taxes
EMI starting at
INR 8,333 / Month
*Terms & Conditions apply
Eligibility
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Bachelor’s degree (10+2+3) in any discipline with minimum marks per university norms
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Open to fresh graduates and working professionals; no career break required
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Selection based on application merit; bridge modules provided for non-commerce/tech backgrounds
Who Can Apply ?
Graduates with a bachelor's degree with 50% marks from a recognised university can apply directly to this data science and ai program.
Working professionals switching into data science and ai gain a flexible, no-entrance-exam path without leaving their job.
Ready to apply? Generate your UGC-DEB ID first, then complete registration on the Chitkara Online portal.
Course Syllabus
Semester 1
CMBA101
Principles of Management
CMBA102
Managerial Economics
CMBA103
Financial Accounting
CMBA104
Business Communication
CMBA105
Quantitative Techniques
Semester 2
CMBA106
Marketing Management
CMBA107
Financial Management
CMBA108
Operations Management
CMBA109
Organizational Behavior
CMBA110
Business Analytics Fundamentals
Semester 3
CMBA111
Specialization Core I
CMBA112
Specialization Core II
CMBA113
Research Methods
CMBA114
Strategic Management
CMBA115
Elective I
Semester 4
CMBA116
Specialization Core III
CMBA117
Specialization Core IV
CMBA118
Elective II
CMBA119
Elective III
CMBA120
Project Management
Semester 5
CMBA121
Industry Elective I
CMBA122
Industry Elective II
CMBA123
Internship/Live Project
CMBA124
Leadership & Ethics
CMBA125
Minor in AI in Business
Semester 6
CMBA126
Capstone Project
CMBA127
Comprehensive Viva
CMBA128
Entrepreneurship
CMBA129
Emerging Technologies
CMBA130
Global Business Environment
Job Roles
Connect with our expert counsellors to get personalized guidance tailored to your unique career journey. Whether you're exploring new opportunities or planning your next big step, our team is here to support you at every stage with clarity and confidence.
Get one-on-one guidance based on your academic background and experience
Discover programs aligned with your career goals and future aspirations
Receive insights on industry trends, job roles, and growth opportunities
| Job Roles | Average Salary | Key Skills | Age Group |
|---|---|---|---|
| Data Analyst, Business Analyst (AI), Junior ML Engineer | ₹6 LPA | Python, SQL, Machine Learning Basics | 21 |
| Data Science Manager, AI Product Manager, Senior Business Analyst | ₹9 LPA | Deep Learning, AI Strategy, Predictive Modelling | 25 |
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.
Explore Other Specializations from Chitkara University
FAQs
Is this Chitkara University Online MBA in Data Science & AI UGC recognised?
Yes. Chitkara University’s Online MBA in Data Science & AI is UGC-entitled and offered by a NAAC A+ accredited university with AICTE approval for MBA/OL offerings.
What is the programme duration and mode in Chitkara University for Online MBA in Data Science & AI?
Chitkara University Online MBA in Data Science & AI is delivered 100% online with live and recorded sessions; MBA is typically 2 years.
Does Chitkara University provide placement assistance for Online MBA in Data Science & AI?
Yes. Chitkara University Online MBA in Data Science & AI Provide Learners access 500+ campus recruiters, resume and interview coaching, LinkedIn profile support, and job-readiness workshops.
What are the eligibility criteria in Chitkara University for Online MBA in Data Science & AI?
Chitkara University Online MBA in Data Science & AI requires a bachelor’s degree (10+2+3) with minimum marks as per university norms.
How are examinations conducted in Chitkara University?
Chitkara University Web-proctored online exams with secure protocols; evaluations include assignments, projects, and end-term assessments.