About AIMA
The All India Management Association (AIMA) is the voice of India’s leaders and managers, and the apex body of the management profession in India. AIMA is a not-for-profit, non-lobbying organisation, and works closely with industry, government, academia and students to further the cause of the management profession in India.
Established in 1957, AIMA has served the management community for close to 70 years. It has a membership base of over 38,000 members and close to 6,000 corporate/institutional members, through 68 Local Management Associations affiliated to AIMA. AIMA is represented on a number of policy-making bodies of the Government of India and national associations.
AIMA offers services in testing, distance education, skill development and training, research, publications, executive education and management development programmes, and special forums for Young Leaders, Vice Chancellors, and women leaders and managers.
- Best for: Final-year students, fresh graduates, early-career professionals (any discipline).
- Outcome: Build job-ready analytics skills + portfolio project.
- Format: Blended delivery (weekday/weekend/in-person/virtual options).
Programme Overview
Today’s organisations need talent that can extract insight from data and translate that insight into AI-driven business value. The Advanced Certificate Programme in Business Analytics & AI is a rigorous, application-oriented qualification designed for final-year students, fresh graduates and early-career professionals who want to launch or accelerate a career in business analytics, machine learning and AI product delivery.
The curriculum blends statistical foundations, modern programming, data analytics and domain-focused AI use cases in 24 academic credits, capped by a mentored Live Project / Internship.
What You Will Be Able To Do (Learning Outcomes)
- Frame business problems as data and AI questions and select appropriate analytical approaches.
- Collect, clean and explore data using Python, SQL and leading data stacks.
- Build predictive and prescriptive models (regression, classification, time-series, optimisation).
- Develop interactive dashboards and decision-ready insights.
- Understand AI applications (recommendation systems, NLP, computer vision) that improve business processes.
- Deliver an end-to-end analytics solution during the Live Project / Internship in a real client or in-house environment.
Key Features (Foundation + Core Skills)
| Feature | What You Gain |
|---|---|
| Full-stack toolchain | Hands-on labs in R, Python, NumPy/Pandas, scikit-learn, Power BI, and popular cloud ML services. |
| Business-first orientation | Every module links methods to finance, retail, healthcare and operations use-cases; guest lectures from industry leaders. |
| Mentored Live Project / Internship | 8–10 weeks in a partner company (or faculty-supervised capstone) to solve a real data/AI problem and build a portfolio piece. |
| Career readiness | Resume clinics, mock technical interviews and optional preparation for certifications (example: Wiley Certified Data Analytics). |
| Blended pedagogy | Interactive lectures (40%), hands-on coding workshops (40%), case discussions and seminars (20%). |
| Flexible study modes | In-person classes (weekday/weekend) and virtual classes, enabling learning alongside jobs or university coursework. |
Assessment & Certification
- Module assessment: lab exercises (20%), quizzes (10%), mid-term exam (30%), final exam / project (40%).
- Live Project / Internship: evaluated by faculty and industry mentor via project report, code review and viva-voce.
- Award: On earning 24 credits with at least 50% in each component, participants receive the Advanced Certificate in Business Analytics & AI plus a digital badge.
Admission Snapshot
Eligibility
- Graduates in any discipline (STEM preferred but not mandatory).
- Prerequisites: comfort with high-school mathematics and basic computer usage.
Selection Process
- Statement of Purpose
- Online aptitude test
- Interview
Intake
- 60 seats (two cohorts per semester).
Contact Us
Neha Malhotra
Programme Manager
All India Management Association – Centre for Management Education
15 Link Road, Lajpat Nagar – Part III,
Near Lajpat Nagar Metro Station, New Delhi – 110024
Mobile : +91 9250127573
Email : pgcm@aima.in
Q. Who is this programme for?
Q. Do I need a STEM background to apply?
Q. What tools will I learn?
Q. Is there a live project or internship?
Q. How is the programme assessed?
Q. What certification do I receive?
Q. What is the fee?
Q. How do admissions work?
Q. What kind of jobs can I get after this programme?
- Business Analyst
- Data Analyst
- Junior Data Scientist
- Analytics Executive
- AI / ML Associate
- MIS & Reporting Analyst
Q. Will this programme help me switch careers into Analytics?
- Freshers enter analytics roles
- Working professionals shift from operations, finance, marketing, HR, etc. into analytics
| Sr. | Subject | Credits | Type |
|---|---|---|---|
| 1 | Foundations of Data Analytics & Programming | 4 | Theory |
| 2 | Data Analysis Techniques Using R & Python | 4 | Theory |
| 3 | Data Visualisation: Power BI / Tableau | 4 | Theory |
| 4 | Predictive Modelling (ML algorithms & model evaluation) | 4 | Theory |
| 5 | AI Applications for Improving Business Practices | 4 | Theory |
| – | Live Project / Internship | 4 | Practical |