Certificate Programme in Business Analytics With Ai
Learn to earn. Pay only when you get hired. Pay After Placement (Pap)
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Programme Overview
The Pay After Placement (PAP) Business Analytics with AI Programme is a structured,
application-first learning journey designed for graduates, working professionals and
freshers aspiring to build careers in business analytics.
Across the levels, Foundation, Core and Applied Analytics, learners develop in-demand skills in Excel, Python, SQL, Power BI, Statistics, Machine Learning and AI-powered Analytics through hands-on projects, real-world case studies and industry-relevant workflows. The programme culminates in a job-ready portfolio and the practical expertise required for roles such as Business Analyst, Marketing Analyst and Product Analyst.
Course Duration*
6 months
Time Commitment*
5 Days/Week • 3 Hrs/Day
Learning Mode
Online
Eligibility
Graduates & above
Programme Director
Prof. Aditya Naishadam (MICA)
Campus Immersion*
MICA campus
*The duration and weekly commitment are indicative. As this is a mastery-based programme, some learners may take
longer to complete the programme and spend additional self-learning hours based on their pace.
Campus immersion at MICA is optional and students may choose to attend at an additional cost.
Pay After Placement Model
The Pay After Placement (PAP) model, offered by Masai in collaboration with MICA, is designed to make high-quality Business Analytics with AI education more accessible and outcome-oriented. Instead of bearing the full programme cost upfront, learners can begin their journey by paying a registration fee of ₹10,000, with the remaining fee deferred until they secure an eligible placement as per the programme terms.
This model reflects our commitment to learner success by aligning programme fees with career outcomes. Students gain access to a rigorous Business Analytics with AI curriculum, hands-on projects, industry-relevant tools, expert mentorship and dedicated career support, all of which are focused on helping them build successful careers in the analytics domain.
By reducing the upfront financial burden and linking fee payment to employment outcomes, the PAP model enables aspiring professionals to focus on learning, skill development and career growth with greater confidence.
Highlights
- Low Upfront Cost: Start your learning journey with a registration fee of just ₹10,000
- Pay After Placement: Pay the remaining programme fee only after securing an eligible job offer
- Outcome-Focused Learning: Designed to build job-ready skills that employers are actively seeking
- Industry-Relevant Curriculum: Learn practical Business Analytics and AI concepts through real-world applications and projects
- Dedicated Placement Support: Benefit from career coaching, interview preparation, resume building and hiring opportunities
- Aligned for Your Success: Our success is tied to your career outcomes, ensuring a strong focus on employability and placements
Programme Structure
The programme begins with a mandatory 5-week Foundation Unit. This level
helps learners understand the programme while assessing their commitment,
consistency, and readiness for the learning journey.
At the end of the Foundation Unit, learners must take a Foundation Assessment,
which evaluates their understanding of the concepts covered during the unit.
If You Clear the Foundation Assessment
- You will progress to the main programme without any additional fee payment.
- The remaining programme fee is payable only after you secure a placement, as per the programme terms.
If You Do Not Clear, Withdraw or Miss the Foundation Assessment
- You will not progress to the main programme.
- You will receive a Letter of Participation (subject to meeting the required eligibility criteria)
- Your enrolment fee is non-refundable and no further payment is required
- The Foundation Assessment is conducted only once and there will be no reassessment or re-test for learners who do not clear it.
- The PAP model is designed around discipline, consistency and employability. Regular participation, timely submissions and maintaining academic integrity are essential for continuing in the programme and remaining eligible for placement support under PAP.
Who Is This Programme For?
Graduates
Build end-to-end Business Analytics capability across programming, databases, statistics and
business intelligence.
How This Course Benefits You
- Master Python from foundations to Pandas, NumPy, EDA along with advanced SQL
- Apply Statistics and build interactive dashboards using Excel and Power BI while solving real
business case studies and guesstimates.
Working Professional
Upgrade from functional reporting to advanced data-driven decision making using structured
analytics frameworks.
How This Course Benefits You
- Strengthen technical depth with Python, advanced SQL querying and database schema design,
enabling independent data extraction and transformation. - Validate business decisions using inferential statistics (Z-tests, T-tests, Chi-Square, ANOVA) and
deliver executive-ready insights through Excel dashboards and Power BI models using advanced
DAX functions.
Career Switcher
Transition into Business Analytics through structured foundations, technical depth and real-world
business application.
How This Course Benefits You
- Start with programming fundamentals, control flow and data structures, progress to Pandas,
NumPy, visualisation and web data extraction and gain a strong command over SQL querying
and database design principles. - Build quantitative confidence with descriptive & inferential statistics and apply learning through
case studies, guesstimation techniques, KPI analysis, Excel dashboards and Power BI reporting.
Tools You’ll Master
- Python
- SQL
- Jupyter Notebook
- Microsoft Excel
- AI Copilots
Why Choose This Course?
Outcome-Driven Fee Structure
A learner-first model: students pay only an enrolment fee with the
remaining fee payable after securing a placement
Expert Faculty and Industry Mentors
Learn from MICA’s experienced faculty and industry mentors
appointed by Masai through live, application-focused sessions
Strong Academic Rigor with Structured Curriculum
The curriculum covering Python, SQL, Statistics, Excel, Power BI and
business case-solving
Industry-Ready Skill Development
The programme incorporates hands-on projects, case studies and
guesstimates to prepare learners for real-world problem-solving
Campus Immersion* and Valedictory
Participants may choose to visit the MICA campus for curated
academic interactions and experiential sessions, concluding with
a formal valedictory ceremony
Peer Learning and Networking Opportunities
Collaborate with a diverse cohort of graduates, professionals and
early-career builders through group activities and peer reviews
*An additional fee of ₹5,000 per participant per day is applicable for the optional campus immersion.
Travel and accommodation expenses must be borne by the participant.
Business Analytics with AI
Why This, Why Now?
Business Analytics is no longer limited to analysing data; it is about uncovering insights faster, making informed decisions and creating measurable business impact with the power of AI.
Al is rewriting how businesses decide. Gartner predicts that by 2027, half of all business decisions will be shaped by Al. Companies aren’t replacing analysts with Al, they’re re-arming the ones who know how to use it, and leaving the rest behind.
Fees & Payment Structure
Fees
Qualifier Test Fee
Non-refundable
₹99
Enrolment Fee
Non-refundable
₹10,000
Remaining
Programme Fee
Pay only if you get placed
PAP Fee (Payable After Placement)
Important Note: GST is applicable as per programme terms
Our MICA Faculty
Plus: Faculties teaching your batch may change based on specific unit expertise, or circumstances such as personal
emergencies, unavailability, etc.
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