Learn data science through focused training in data analysis, statistics, programming, and data visualisation. Interpret datasets, identify patterns, and use analytical tools to solve real-world problems while developing practical skills in data-driven decision-making at AAFT.
Looking for a full undergraduate degree in data science or AI? Explore AAFT’s degree pathways below.
The 1-year Diploma in Data Science offers focused training in data analysis, programming, statistics, and data visualisation. If you are looking for a longer undergraduate pathway, explore AAFT’s degree programme.
Develop a foundation in data science through practical learning in data analysis, programming, statistics, and data visualisation. Learn to interpret datasets, identify patterns, and apply analytical techniques to real-world problems.
Aspiring data science professionals who want to build their analytical and technical skills and learn to work with data through focused training in:
Choosing a data science pathway starts with understanding your learning goals, interest in data analysis and career aspirations.
| AAFT Program | Best For | Duration | Recommended Next Step |
|---|---|---|---|
| Diploma in Data Science | Students seeking focused, practical training in data analysis, programming, statistics and data visualisation. | 1 Year | Apply for Diploma |
| B.Sc in Data Science | Students seeking comprehensive undergraduate education in data science, with structured learning in programming, statistical methods, data analysis and data-driven problem-solving. | 3 Years Full UG Degree | Explore B.Sc. in Data Science |
| B.Des in 3D Animation and Visual Effects | Students interested in AI concepts, machine learning, data-driven problem-solving and intelligent technologies, with a focus on developing technical and analytical skills. | 3 Years Full UG Degree | Explore B.Sc in Artificial Intelligence |
Learn through interactive lectures, storyboarding, compositing, rendering, 3D modelling and hands-on portfolio work.
Get exposure through faculty guidance, masterclasses, guest lectures and industry-facing learning activities.
Students receive career counselling, interview preparation, resume-building support and placement assistance through AAFT’s ecosystem.
Build practical data science skills through training in Python programming, data analysis, statistics, data visualisation, machine learning, and data-driven problem-solving.
Students who want a longer academic pathway can compare this 1-year diploma with the B.Sc in Data Science degree course.
Dipanjan Sarkar brings over a decade of hands-on and leadership experience in Data Science and Artificial Intelligence, spanning industry, training, consulting, and education initiatives worldwide. He has led data teams and built end-to-end data products across Fortune 100 companies as well as startups. A published author, Google Developer Expert, and Cloud Champion Innovator, DJ has also played a key role in developing some of the world’s earliest end-to-end Generative AI training programs. Passionate about teaching, he enjoys sharing real-world insights and practical knowledge to support others on their AI learning journey.
Speak to a CounsellorBuild a foundation for entry-level opportunities across data analysis, data management, reporting and business analytics.
Candidate must have completed 10+2 from a recognized board or institution.
Candidate must have minimum 50% marks in 10+2; 45% for reserved categories.
Candidate needs to clear the AAFT Global Entrance Test and personal interview process.
Submit your application form with basic academic and contact details.
A personal interview will be conducted to screen your application.
After the admission round, the admission letter will be rolled out to selected candidates.
A Diploma in Data Science is a one-year, practical programme that teaches data analysis, statistics, Python programming, databases, business intelligence, deep learning and data visualisation, preparing students for entry-level data-related roles.
The Diploma in Data Science is a one-year programme divided into two semesters. It covers data science foundations, statistics, databases and Python in Semester 1, followed by generative AI tools, deep learning, big data and a research dissertation in Semester 2.
Students who have passed or are appearing for Class 12 from a recognised board can apply for the Diploma in Data Science at AAFT, subject to the institute's admission requirements.
No, the Diploma in Data Science at AAFT requires students to have completed or be appearing for Class 12. Students who have completed only Class 10 must meet the eligibility criteria before applying.
The syllabus covers Data Science Essentials, Statistical Approaches for Machine Learning, Database Management, Business Intelligence, Python Fundamentals, Generative AI Tools, Deep Learning, Advanced Python Programming, Big Data Storage and Cloud Computing, and a Portfolio and Research Dissertation.
The Diploma in Data Science at AAFT has a fee starting at ₹1.50 lakh. Students should confirm the current total fee and any applicable additional charges with the admissions team.
Applicants must submit the application form and required documents and attend a personal interview as part of the admission process. Selected candidates receive an admission letter. Contact AAFT's admissions team to confirm the current requirements.
Graduates can explore entry-level roles such as junior data analyst, reporting analyst, business intelligence assistant, MIS executive, data visualisation assistant, data quality analyst and database support associate, depending on their skills and practical experience.
Freshers can expect to earn around ₹2.5 to 5 LPA in entry-level data-related roles. With 3 to 5 years of experience, salaries may increase to ₹6 to 12 LPA, while professionals with specialised skills in Python, SQL, machine learning, and big data may earn ₹12 to 18 LPA or more, depending on their role, expertise, and employer.
Yes, the diploma can provide a foundation for a data science career. However, data scientist positions often require stronger programming, statistical modelling and machine learning skills, along with relevant experience or further qualifications.
Students develop skills in Python programming, statistical analysis, database management, business intelligence, data visualisation, machine learning fundamentals, deep learning and big data technologies.
Basic coding knowledge is not necessarily required to begin learning, but programming is an important part of data science. The programme covers Python fundamentals and advanced Python programming to help students develop their coding skills.
A Diploma in Data Science is a one-year, skill-focused programme, while a B.Sc in Data Science is a three-year undergraduate degree offering broader academic study. Students seeking a degree can also explore AAFT's B.Sc in Data Science.
Data analytics focuses on examining data to answer business questions and identify trends. Data science also involves predictive modelling, machine learning and deep learning to develop data-driven solutions.
After completing a Diploma in Data Science, students can explore relevant undergraduate programmes, such as a B.Sc in Data Science or B.Sc in Artificial Intelligence, subject to the respective programme's eligibility and admission requirements.
Speak to an AAFT counsellor and choose the right data science and AI pathway based on your career goal, timeline and academic preference.
