Pay After Placement Certification Programme in

Business Analytics with AI

Start with only ₹10,000 upfront. Pay the remaining fee after an eligible placement.

MICA Certificate + Placement Support

26-Week Mastery-Based Progression Industry-Relevant Analytics Skills

Qualifier Test Date September 13, 2026
Eligibility Graduates & Above
Timings Tue - Sat, 7:00 PM to 10 PM
Learning Mode Online
Programme Director Prof. Aditya Naishadam

What is Pay After Placement (PAP)?

The Pay After Placement (PAP) model, offered by Masai in collaboration with MICA, makes Business Analytics with AI education more accessible by reducing the upfront financial commitment. Learners pay a registration fee of ₹10,000 and defer the remaining programme fee until they secure an eligible placement, as per the programme terms.

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 Business Analytics 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 Roadmap

A structured pathway from qualification to outcome-based learning

Student Journey

STEP 1

Register & Qualify

Pay ₹99 to take the Masai Qualifier Test. Clear the test to attend a counselling session.
STEP 2

Reserve Your Seat

Pay ₹10,000 to confirm your enrollment and secure your place in the programme.
STEP 3

Complete Foundation Unit

Participate in a mandatory 5-week foundation unit designed to assess your commitment and learning readiness.
STEP 4

Qualify for PAP

Clear the foundation unit assessment and meet the required performance criteria to continue under the PAP model.
STEP 5

Complete Onboarding

Sign the PAP agreement and complete the required programme documentation.
STEP 6

Start Your Learning Journey

Begin the Business Analytics programme and pay after securing a qualifying placement.*

Important: Students who do not meet the Foundation unit requirements or fail the Foundation unit Assessment will not continue in the programme.

Certificate Programme in Business Analytics with AI

Why choose this course?

Master the complete analytics stack and turn data into actionable business decisions.

Expert Faculty & Industry Mentors

Learn from experienced MICA faculty members and industry mentors from Masai through live, application-focused sessions.

Peer Learning & Networking Opportunities

Collaborate with a diverse cohort of professionals, graduates, early-career builders and working professionals through group activities and peer reviews.

Outcome-Driven Fee Structure

The programme follows a learner-first model: students pay only a registration fee to enroll, with the remaining fee payable after securing placement.

Rigorous Academic Curriculum

The curriculum spans across nine Units covering Python, SQL, Statistics, Excel, Power BI, and business case-solving.

Industry-Ready Skill Development

The programme incorporates hands-on projects, case studies, guesstimates, and KPI analysis to prepare learners for real-world analytics and business problem-solving.

Campus Immersion & Valedictory

Participants may choose to visit the MICA campus for curated academic interactions and experiential sessions, concluding with a formal valedictory ceremony.

Certificate Eligibility: Learners must achieve a minimum assessment threshold of 60% in each unit

What will you learn?

The Pay After Placement (PAP) Business Analytics with AI Programme is a structured, application-first learning journey designed to prepare college students and freshers for entry-level careers in business analytics. Spanning into different levels such as Foundation, Core, and Applied Analytics, the curriculum equips learners with in-demand skills in AI, Excel, Python, SQL, Power BI, statistics, machine learning, and AI-powered analytics through hands-on projects, real-world business case studies, and industry-relevant workflows. By the end of the programme, learners build a job-ready portfolio and the practical competencies required for roles such as Business Analyst, Marketing Analyst, Product Analyst, and such others.

Toolkit

  • Python
  • SQL
  • Microsoft Excel
  • Jupyter
  • powerbi

Course Details

From foundations to applied analytics, an outcome-driven roadmap built for real-world careers.

Business mindset and the basic technical toolkit every analyst needs from day one. Builds the conceptual scaffolding (P&L thinking, KPI logic, sector literacy, problem framing) before introducing Excel and Python as the first working tools.

Business Foundations & Analyst Mindset

SQL for Analysts

Mini Project

Develop practical Excel and Python skills to work with business data. Learn advanced Excel functions, Pivot Tables, Power Query and dashboards, along with Python programming, data structures, control flow, functions, file handling and data cleaning through hands-on mini projects.

Excel for Analysts

Python Foundations

Mini Project

Advance your analytical skills by working with larger datasets using Pandas and NumPy. Learn data transformation, aggregation, visualisation, cohort analysis and build interactive Power BI dashboards using data modelling, DAX and visualisation best practices to support business decision-making.

Python for Data Analysis

Dashboarding with Power BI

Mini Project

Apply statistical techniques and business analytics to solve real-world problems. Learn hypothesis testing, A/B testing, marketing and product analytics, customer segmentation, funnel analysis, unit economics, and data-driven decision-making through business case studies.

Statistics & A/B Testing

Marketing & Product Analytics

Mini Project

Leverage machine learning and AI to enhance business analytics. Build predictive models with scikit-learn, evaluate model performance, and use AI-powered tools to accelerate data analysis, coding, and business insights while applying critical validation techniques.

Applied ML and AI for the Modern Analyst

Mini Project

Placement Readiness Programme

Learners who meet the required evaluation benchmarks throughout the programme will progress to the Placement Readiness Programme, where they will receive resume support, LinkedIn profile guidance, mock interview practice, interview preparation, communication skills training, and access to placement opportunities through Masai's hiring network.

Eligibility for Placement Readiness Programme

To be eligible, learners must successfully meet the programme's evaluation criteria, including:
Attendance: 90% or above
Assignments: 80% or above
Assessments: 60% or above
Successful completion of projects
Adherence to academic integrity and the programme's code of conduct

Note: The curriculum outlined here is indicative and may be updated periodically to reflect evolving industry, marketing, and hiring trends. For the detailed curriculum, please refer to the programme brochure.

Our instructors

Prof. Aditya Naishadam

Prof. Aditya Naishadam

Faculty, MICA and Programme Director.

Linkedin

Prof. Aditya Naishadam is a Purdue University graduate and a Gold Medallist from MICA's MBA programme in Market Research & Analytics. He brings over six years of industry experience in predictive analytics, machine learning, and marketing analytics. He has been associated with MICA as an Adjunct Faculty member, contributing to teaching and course design in the areas of data science and analytics. Prof. Aditya currently teaches Machine Learning and Marketing Analytics at MICA, integrating industry practice with academic learning. He also continues to work on AI and analytics projects while mentoring aspiring data professionals and promoting an application-driven approach
to data science.

Prof. Sunita Mall

Prof. Sunita Mall

Associate Professor,
Business Management

Linkedin

Dr. Sunita Mall holds a PhD and M.Phil. in Statistics from Utkal University, along with an M.Sc. in Statistics. She has also completed the Executive Programme in Business Analytics from IIM Calcutta and a Certificate Programme in Digital Marketing with Applied Analytics. She specialises in quantitative techniques and data analytics and serves as Programme Director for MICA’s executive online programme in Digital Strategy and Marketing Analytics. She teaches across MICA’s MBA, FPM and online programmes, as well as at select IIMs. With prior consulting experience across insurance, banking and startups, her expertise includes fraud analytics, credit scoring, anomaly detection and business analytics. Her research spans fraud, credit scoring, cross-selling, insurance penetration, stock market volatility and neobanking, with publications in ABDC-rated journals and presentations at international conferences.

Note: The faculty profiles displayed represent the pool of faculty associated with the programme.
Sessions may be delivered by selected faculty members from this pool, subject to availability.

The Future Of Business Analytics With AI is here

USD 196.5 Billion

Business analytics market projected to nearly double from ~ USD 96.6 Billion in 2024 to ~ USD 196.5 Billion by 2033

Source: McKinsey Global Survey

“The goal of business intelligence is to turn data into information, and information into insight”

Carly Fiorina (former CEO, Hewlett-Packard)

Carly Fiorina (former CEO, Hewlett-Packard)

70%

of organizations rely on analytics platforms and predictive insights to support decision-making and operational goals

Source: The Economic Times

Success Stories

Mayuri comes from Navsari, near Surat in Gujarat. As a child, she showed promise and attended an English medium school, where she consistently ranked among the top students. After scoring exceptionally well in her 12th-grade exams, Mayuri received widespread recognition in her district, with her achievements featured in local newspapers. She chose to pursue commerce after high school. To support her family, she provided tuition to neighbourhood kids while also aspiring to become a Chartered Accountant. Unfortunately, her dream of becoming a CA didn't materialize despite several attempts at the exams. Facing pressure to marry, Mayuri felt trapped and kept her desire for a different career path hidden. To delay marriage, she pretended to have completed a course in banking and government exams, all while working in low-paying jobs. Her life took a turn when a friend suggested Masai. Even though Mayuri was sceptical of the pay-after-placement model, she was determined to pursue a career in tech. After convincing her parents, she saw Masai as her last chance before agreeing to an arranged marriage. Mayuri excelled in the Masai School Admission Test (MSAT) and thrived in Masai's intense 11-11-6 routine and updated curriculum, mastering Java and improving her English skills. Her hard work paid off when she landed a position as a JAVA Developer at LogwinTech Pvt. Ltd. Today, Mayuri is progressing rapidly in her career, engaging in public speaking and contributing her industry insights to the Masai alumni network. Her journey is a testament to her determination and resilience, proving that with the right opportunity and hard work, anyone can rewrite their story. Mayuri's journey is a tale of transformation, fuelled by Masai's spirit. It proves that where one starts doesn't determine one's fate. Effort, learning, and courage can change one's destiny.

Mayuri Samanta

Mayuri Samanta

Fresher to SDE1 at LogWinTech Pvt. Ltd.

Pratham, from a quiet town in Dehradun, Uttarakhand surrounded by hills, always had a passion for coding. He loved numbers and science since he was young and wanted to pursue Computer Science Engineering after school. However, his family couldn't afford it. So, Pratham took matters into his own hands. He worked at the Survey of India during the day and pursued a degree in Mathematics at night. Amidst this, he found Masai—a chance to learn software engineering without financial strain. His family wanted him to aim for a secure government job, but Pratham's heart was set on tech. It took time, but eventually, his mom supported his decision to join Masai. In July 2022, Pratham joined Masai. The atmosphere was charged with the same goals—code, career, change. His IA, Chetan, helped ease his mom's worries in the beginning. He remembered a friend who cracked IIT and guided him into backend development. "No big degrees needed," his friend had said. Pratham dove into Java basics and web development. The 9-9-6 routine felt like boot camp with code. Switching between backend and frontend assignments fried his brain, but Masai's spirit and tutors kept him going. Communication classes turned him from a fumbling introvert into a confident speaker. Isha Kataria and other soft skills instructors helped him express his ideas. From student to professional, the transition brought growth. In his first tech job at Cure Foods Pvt Ltd (Eatfit), he combined backend and user experience, creating seamless digital experiences. His manager guided him, and he was surrounded by logical and creative techies. Now a full-stack developer, Pratham's thirst for knowledge remains unquenched. Java, Spring Boot, and other languages beckon. Though his time at Masai has ended, his journey in tech is just beginning.

Pratham Sharma

Pratham Sharma

GIS Analyst to Full Stack Engineer at Curefoods

Hassan's journey with Masai started in the very early days of the first batch "The Vikings". After joining Masai, Hassan became one of the first individuals to complete their Income Share Agreement (ISA, now Pay After Placement - PAP). Reflecting on his initial scepticism about the ISA model, his dissatisfaction with his current job and his desire for change overshadowed his concerns. His persistent inquiries to the Masai team, coupled with their patient and sincere responses, convinced him to take the leap of faith into joining the Vikings batch. Support from Hassan's family played a crucial role in his decision. Despite initial doubts, his father encouraged him to pursue his aspirations, eventually recognizing Masai's potential through his dedication and the efforts of the Masai team. Transitioning from Masai to his role as a Software Engineer at Sharechat, Hassan found himself surrounded by colleagues from prestigious backgrounds. As an intern, he keenly observed his seniors' work ethic, realizing their success stemmed from relentless dedication. This realization, coupled with his experiences at Masai, provided a solid foundation for his career growth. Comparing the traditional educational model with Masai's ISA-based approach, Hassan highlighted the latter's emphasis on accountability. Unlike traditional systems where success feels uncertain, Masai's model instilled hope by aligning the institution's success with that of its students. Expressing his support for implementing ISAs on a national scale in India, Hassan believed it would create a more participative learning environment. By holding educational institutions accountable for their students' success, the ISA model could motivate educators to align their efforts with student outcomes. Hassan exemplifies how an ISA can transform one's educational prospects. With his extensive knowledge and skills, Hassan is now a consultant serving Growble, poised for further career growth with improved salary packages.

Mohammed Hassan

Mohammed Hassan

Workshop Trainee to SDE 2 at Sharechat

Shashank grew up in a family that struggled to make ends meet. Money was tight, especially after his father faced some difficulties. To continue his education after the 10th grade, Shashank had to rely on his savings and his elder brother's earnings. When it was time for college, Shashank wanted to pursue engineering, but the high fees of private colleges were beyond his family's means. Instead, he opted for a BSc degree, hoping it would lead to a better future. His dream of studying engineering had to be put on hold due to financial constraints. He started his BSc but found it wasn't the right fit for him. After two years, he dropped out and decided to pursue a diploma, believing it could be equivalent to a B.Tech if he completed his MCA afterward. To pay for his diploma, Shashank worked part-time jobs and saved every penny. However, even with his efforts, it was challenging to support himself and sometimes his siblings. Amidst the struggles, a friend from Masai, Ankush, showed him a new path. Ankush had already secured a job, giving Shashank hope. After hearing about Masai from other friends like Atin and Vivek, he saw it as an opportunity worth pursuing. Masai's unique feature of not requiring upfront fees was perfect for Shashank. It offered a ray of hope, allowing him to pursue his dreams without the burden of financial pressure. His experience at Masai was transformative. The rigorous classes, comprehensive learning of full-stack development, and mastering new programming languages expanded his knowledge and opened new doors. Shashank's life changed significantly after he landed an SDE-I role at STREAMS Solutions Pvt. Ltd. He worked hard, overcame his fear of English, and honed his technical skills. Although job interviews were challenging, he persevered and eventually landed a good job where he could communicate effectively and continue to grow. For Shashank, it's not just about the pay check; it's about being in an environment that fosters continuous learning and growth. With gratitude to Masai for providing him with the tools to build a better life, he looks forward to a future filled with bigger dreams and opportunities.

Shashank Dubey

Shashank Dubey

Fresher to Assoc. Software Engineer at STREAMS Solutions

Aman Kashyap was born in Kanpur, Uttar Pradesh. He had a keen interest in computers since his school days. Aman decided to turn this spark into a roaring fire and bravely chose computer science as an optional subject in 12th grade, while attending OSVN Inter College, a state board school. However, life threw curveballs at Aman. As much as he wanted to soar into the sky of technology, financial constraints anchored his family to the ground. He longed to study at IIT, but his dreams collided with reality. To support his family, he slung a bag over his shoulder, not filled with books, but with food parcels, becoming a delivery executive for Swiggy. The shadow of COVID-19 loomed, halting his educational goals further. Aman found himself working in leather factories, scrutinizing products for quality before they made their way to the eager hands of customers. Yearning for stability, he joined a Government Polytechnic College, but his heart wasn't in textile technology – it was in computing. Looking for better career paths, Aman came across Masai. His schoolmate, Arpit Sachan, told him about an institute that offered a coding course with a "pay after placement" mode. Aman did his homework and discovered Masai's success testimonials on social media platforms. His determination blazed; he joined Masai, setting forth on a journey that would challenge him to the core. With no technical background, Aman had to work harder than others in the initial phases of his Masai journey, sometimes needing to repeat units to solidify his understanding. But he grew, and he enhanced his skills day by day. The pedagogical prowess of his mentors sculpted the raw clay of his skills, and he left Masai not just with improved technical acumen but with soft skills and the ability to communicate confidently in English. The cherry on top? Aman conquered the odds and landed a job as a Software Developer at Swiggy. The journey was arduous, but the rewards were sweet. Aman's transformation from a delivery executive at Swiggy to an assistant SDE, also at Swiggy, is a cornerstone of Masai's "Impact Book." Stories like his ripple through villages and cities and inspire hopes of rising after hitting rock bottom and winning against all odds.

Aman Kashyap

Aman Kashyap

Swiggy Delivery Partner to SDE1 at Swiggy

The Masai Impact Book

The Masai Impact Book

To read more inspiring success stories from the Impact Book

Read Now

Note: The success stories featured here are from earlier Masai PAP programs conducted independently and do not represent outcomes associated from this partnership.