Project Based Learning

Students will engage in projects that simulate real-world industry scenarios throughout their journey. The fifth and sixth terms will be dedicated to internships across various industry verticals, allowing students to apply their knowledge in different business environments and contexts. These provide invaluable first-hand experience, helping students understand how AI and DS transform businesses globally. The 6-Months Internship Program is a crucial part of the curriculum, carrying a weightage of fifteen credits. Decent performance during the internship might also lead to a pre-placement offer from the host organization. Every student is allocated an industry and faculty mentor at the host organization to provide guidance during the internship. The internship entails identifying a business issue, formulating viable solutions, and providing ideas for assessment and possible execution. Faculty members offer continuous support, while both industry mentors and TAPMI faculty evaluate the final report. Upon returning to campus, students are required to provide their findings to a faculty panel and engage in a viva voce examination. Moreover, third and fourth terms will be dedicated to research-based projects for students who want to go in Market Research, or Financial Research roles.

Applied learning is at the heart of this program. Students will work multiple tools such as Python, R, Tableau, Power BI, Databases, and many more to work on business use cases and technology-driven challenges. Using platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud Platform, the program ensures that students are well-versed in the latest technologies driving AI and DS innovation. Focus will also be on learning multiple functional domains and how to take data-driven business decisions across the verticals. Several laboratories will be made available to the students via MSIS and TAPMI. These labs will host multiple high-end hardware and enterprise grade cutting-edge software tools.

Enhanced Industry Interface

The program’s structure ensures that students are constantly engaged with industry professionals. Students immerse themselves in industry-driven projects in the fifth and sixth terms, working on functional and operational challenges leading organizations and startups face. Additionally, students participate in innovative research projects guided by top professors and industry leaders, further deepening their expertise.

TAPMI’s and Manipal Academy of Higher Education (MAHE)’s close ties with Microsoft will bring AI and DS business solutions into the classroom, giving students exclusive access to industry-leading technologies and frameworks. In terms five and six, students will immerse themselves in industry with live functional or cross-functional projects, further enhancing their industry readiness.

As part of the program, students will have the chance to attend industry-academia conclaves to interact directly with senior management from various sectors. These events allow students to network with professionals and gain insights into the evolving landscape of AI and DS. TAPMI also encourages students to participate as volunteers at various in-house or outside International Research Conferences, offering them a global perspective on the latest developments in this cutting-edge domain. Students will work on enterprise grade datasets and not fictious or toy datasets. There will be multiple Business Management Domain-Enhancement seminars at Manipal campus. Moreover, TAPMI Manipal is home to a Centre of Excellence for Artificial Intelligence and Data Science driving innovation and growth.

Desired Participant Profile

This MBA program is ideal for industry professionals enthusiastic about the intersection of technology and business. Applicants should have a bachelor’s degree and 2-3 years of industry experience, preferably in the AI or Data Science space. The program is also well-suited for individuals with a strong interest in AI and Data Science, even if their prior exposure to the Technical and Business Analytics domain is limited. Blending technical expertise with strategic thinking is key to success in this program.