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Undergraduate
4 Years
Admission Open for 2026
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The BBA in Data Analytics and Artificial Intelligence, offered in collaboration with Grant Thornton, is a comprehensive 4 year undergraduate programme that integrates robust academic learning with practical industry exposure. The BBA in Data Analytics and Artificial Intelligence, offered in collaboration with Grant Thornton, blends strong academic learning with practical industry exposure. Grant Thornton enhances the program through case study competitions, industry visits, and internships, ensuring students learn through real-world applications.
Students receive continuous support and mentoring from Grant Thornton experts, strengthening their analytical and technical capabilities. The firm also assists in offering internship and placement opportunities, proportionately aligned with student strength.
The program emphasizes 75% hands-on learning, allowing students to work extensively with tools such as Python, TensorFlow, Power BI, Tableau, and Generative AI frameworks. This practical, tools-based approach equips students with the skills required to solve real business problems and succeed in data-driven roles.
Overall, the BBA in Data Analytics and AI with Grant Thornton prepares students to become industry-ready professionals in the rapidly growing analytics and AI ecosystem.
Specializations:
The program offers students an understanding of BBA along with specialization in Data Analytics and AI
Manav Rachna offers a unique educational experience that combines academic excellence, practical exposure, and industry partnerships to equip students with the skills needed for real-world success.
Alumni Imprints Globally
Published Research Papers
MNC's & Indian Corporate Recruit
Patents (Filed/Granted)
Global Academic Collaborations
Alumni & In-Campus Startups
Countries with Footprints
Highest CTC Offered
Candidates have Passed in 10+2 examination with at least 50% marks in aggregate in 5 subjects. Should have qualified English as a subject. Merit preparation / shortlisting of candidates shall be on the basis of score in SAT/ MRNAT Marks in Qualifying Examination Pearson Test Score.
Admission Criteria:
Admission to BBA with Data Analytics and AI will be made on the basis of merit in any one of the following entrance examinations:
This wide range of options assures flexibility for applicants with various academic backgrounds and geographies.
Selection Criteria:
The candidates would be shortlisted for this course based on a shortlisting process in marks of qualification examinations as well as marks in one of the entrance tests mentioned. A merit list will be prepared, and the shortlisting of the candidates will accordingly be performed to be admitted finally.
Scholarship Programme:
Quantum Algorithm Researcher – Design and analyze new quantum algorithms for real-world problems, such as optimization, simulation, or cryptography
Quantum Machine Learning Engineer – Combine quantum computing with AI and machine-learning frameworks to develop and deploy quantum-enhanced models
Cybersecurity Analyst (Post-Quantum Era) – Monitor emerging vulnerabilities, implement quantum-resistant encryption, and guide organizations for future-proof security
R&D Engineer in Quantum Hardware/Software Firms – Support prototype development, performance testing, and productization of quantum systems
Quantum Software Engineer / Developer – Design and optimize quantum algorithms using IBM Qiskit, Google Cirq, or AWS Braket
Quantum Research Scientist – Conduct advanced research in quantum algorithms, communication, and information science
Quantum Hardware Engineer – Develop and test quantum processors, cryogenic systems, and qubit technologies
AI / ML Engineer (Quantum AI) – Apply quantum principles to enhance AI and machine learning models
Cybersecurity & Quantum Cryptography Specialist – Build secure communication systems resistant to quantum attacks
Data Scientist / Computational Scientist – Use quantum-inspired models to accelerate data analysis and computation
Quantum Cloud Engineer / Architect – Contribute to cloud-based quantum computing platforms like Azure Quantum or IBM Quantum Experience
Higher Studies & Research Fellowships – Pursue M.Tech, MS, or Ph.D. in Quantum Computing or join national missions (IISc, IITs, DRDO, ISRO)
Quantum Tech Entrepreneur / Consultant – Lead or advise start-ups and industries adopting quantum technologies
The BBA in Data Analytics and Artificial Intelligence is aligned with the National Education Policy (NEP) and offers a flexible, multidisciplinary learning experience. The curriculum builds strong foundations in statistics, Python programming, machine learning, AI applications, database management, data visualization, and predictive analytics. Students also explore big data technologies, cloud-based analytics, business intelligence, and generative AI tools. With a strong focus on experiential learning, the program includes hands-on labs, real datasets, case studies, and industry-supported projects. This practical, outcome-based approach develops analytical thinking, innovation, and industry readiness, preparing students for a wide range of data-driven careers.
Grant Thornton offers structured internships and placement opportunities through this program. With the strong industry reputation of Grant Thornton, students gain exposure to high- impact analytics projects, AI applications, and consulting assignments
Why Pursue
Pursuing the BBA in Data Analytics and Artificial Intelligence is a strategic step toward entering one of the highest-growth and future-defining fields. The program offers an NEP-aligned, future-ready curriculum that blends academic rigor with extensive hands-on training. Students gain in-demand skills in data analytics, machine learning, AI applications, and business intelligence while working with advanced tools and real datasets.
Through continuous industry engagement with a renowned global firm like Grant Thornton, learners receive expert mentorship, practical exposure, and valuable insights into real business challenges. With strong internship and placement support, the program prepares students to become agile, ethical, and innovation-driven professionals ready to lead in a data-driven world.
Course Fee (Annual): INR 2,51,400
Duration: 4 Years
* The fee displayed above is applicable only to Indian residents. Fees for NRI and International students are different and will be shared upon enquiry.
Modes of Payment
We at Manav Rachna offer generous residential facilities and convenient transportation services so that each student, including those studying Manav Rachna, gets to enjoy a safe, comfortable, and fulfilling campus life.
MREI provides on-campus and off-campus hostel facilities for boys and girls with various types of rooms. Students can choose single, double, and triple rooms as per their preference.
Key Points
Room Types: The hostels offer different types of rooms to suit different budgets and preferences:
Fee Structure: The hostel fee is to be paid on the basis of the room category chosen by the student and it can be paid through DD (Demand Draft) or in cash.
Additional Facilities:
At Manav Rachna, we offer world-class sports facilities to keep our students fit and active. Our facilities comprise a range of outdoor and indoor games, including:
Mess plan also comes as part of hostel fee. Healthy food is served through the mess considering the multicultural requirements of different food habits for the students. By providing choices involving vegetarian as well as non-vegetarian options, healthy lifestyle is available for the students enabling them to pursue their studies focusing on programs with full seriousness.
Notable facilities include:
The facilities enable students to pursue physical exercises that complement their academic development.
Laundry facilities are available at an extra fee in the hostel fees. This saves students from worrying about laundry, so they can focus on their studies, and also allows their clothes to remain properly cleaned.
There is a vast parking space facility available for students who commute using their own means of transport. It is provided to cater to the requirements of students, so that their travel will be easy and hassle-free.
Our well-maintained transport facility offers a stress-free, secure, and safe journey for students from Delhi and Gurugram. The GPS-located, contemporary fleet of buses is operated by professionally trained personnel, with onboard support staff to assist students. Our emphasis is on reliability, safety, and convenience, ensuring unproblematic travel to and from the campus.
Manav Rachna offers a unique educational experience that combines academic excellence, practical exposure, and industry partnerships to equip students with the skills needed for real-world success.
Log in to www.manavrachna.edu.in and click on the Admissions link.
Click on "Apply Now," generate your login credentials, and fill out the form with your personal, educational, and contact information.
Fill in the application by paying online using net banking, debit/credit card, or UPI.
Get qualified through MRNAT (Manav Rachna National Aptitude Test) or produce a valid score.
Program Outcomes (PO's)
Business Knowledge & Application
Apply fundamental concepts of management, commerce, and economics to effectively manage business operations.
Data-Driven Decision Making
Utilize quantitative techniques, data analysis tools, and information systems to analyze business data and support evidence-based decision-making.
Critical Thinking & Problem Solving
Identify, formulate, and analyze complex business problems, reaching substantiated conclusions using a combination of analytical and creative thinking.
Ethical Governance & Social Responsibility
Evaluate business dilemmas from an ethical perspective and apply principles of corporate governance and sustainability to create a positive societal impact.
Communication & Teamwork
Communicate business concepts effectively in written, oral, and presentation formats, and collaborate productively in diverse team settings.
Global Perspective & Collaboration
Analyze the impact of global factors on business and leverage collaborative networks to achieve organizational goals in a cross-cultural context.
Entrepreneurial & Innovative Mindset
Develop and evaluate new business ideas, demonstrating creativity, adaptability, and an understanding of the innovation lifecycle.
Leadership & Lifelong Learning
Demonstrate foundational leadership skills and recognize the need for, and have the ability to engage in, independent and lifelong learning in the context of a rapidly evolving business landscape.
Program Specific Outcomes (PSO's)
Apply analytical tools and data-driven frameworks to analyze complex business scenarios and formulate sustainable, ethical strategies within their specialized domain.
Design, build, and deploy analytical models and AI solutions using machine learning, predictive analytics, and visualization tools to solve real-world business problems, while promoting innovation, digital transformation, and responsible AI practices in modern data-driven enterprises.
The partnership with Grant Thornton delivers immersive industry exposure through mentored projects, live business case studies, and professional certifications. This combination translates academic learning into practical workplace capability, giving candidates a clear competitive advantage in analytics and consulting contexts.
Graduates are well-matched for positions such as Data Analyst, Business Analyst, AI Associate, entry-level Data Scientist and Consulting Analyst. They can join sectors including finance, healthcare, e-commerce, marketing and technology. The emphasis on applied analytics ensures readiness for multi-industry roles.
Candidates engage in applied training that includes real-time data processing, AI tool simulations and internships guided by Grant Thornton professionals. These modules replicate corporate projects, equipping learners with the technical confidence and operational familiarity required by modern analytics teams.
Yes. Grant Thornton assists in securing internships and placement opportunities through its national network of offices. Candidates gain direct access to this professional ecosystem, enhancing their chances of employment in analytics- and consulting-oriented roles with industry-leading organisations.
Students acquire proficiency in tools and platforms such as Python, R, Power BI, Tableau, SQL and advanced Excel analytics. They also master techniques in machine learning, predictive modelling and AI-based business applications, positioning them for data-driven decision-making roles.
The curriculum fuses analytical thinking, innovation and ethical decision-making—essential skills for the data-centric economy. Graduates leave with both technical expertise and strategic insight, enabling them to lead analytics initiatives and help organisations navigate digital transformation.
The collaboration with Grant Thornton, one of the world’s leading consulting and advisory firms, brings direct industry immersion through mentored projects, live case studies, and professional certifications—bridging the gap between classroom learning and workplace application.
Graduates can work as Data Analysts, Business Analysts, AI Associates, Data Scientists (entry-level), or Consulting Analysts across sectors like finance, marketing, e-commerce, healthcare, and technology.
Students engage in hands-on training, real-time data analysis projects, AI tool simulations, and internships under the guidance of Grant Thornton professionals, ensuring readiness for corporate challenges.
Yes. Students receive internship and placement assistance through Grant Thornton’s offices nationwide, gaining direct access to its professional network and potential employment opportunities.
Students learn tools and platforms such as Python, R, Power BI, Tableau, SQL, and Excel Analytics, while mastering machine learning, predictive modeling, and AI-based business applications.
The curriculum integrates analytical thinking, innovation, and ethical decision-making - essential for thriving in data-centric industries. Graduates are equipped not just with technical expertise but also with managerial acumen and strategic insight to lead in a digitally transformed world.
Sector – 43, Aravalli Hills, Delhi – Surajkund Road, Faridabad – 121004, (Haryana), India
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