Program

MBA (Artificial Intelligence, Fintech and Consultancy)

The MBA (Artificial Intelligence, Fintech, and Consultancy) program equips students with global business skills, fostering strategic thinking, innovation, and professional leadership. It prepares them to excel in diverse managerial roles and make data-driven decisions in dynamic business environments.

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To develop competent management professionals with strong analytical, technological, and strategic decision-making skills.
To provide comprehensive knowledge of Artificial Intelligence and its applications in modern business environments.
To enhance problem-solving, innovation, and research capabilities through data-driven learning and practical exposure.
To build leadership, communication, and teamwork skills for effective business consultancy and digital transformation roles.
To promote ethical, sustainable, and socially responsible use of technology in financial and managerial decision-making.
To encourage lifelong learning and industry engagement through internships, projects, and certification programs.

Dynamic, qualified, and friendly faculty with an average experience of over 15 years.
Industry MOUs providing students training in the latest management techniques through certificate programs and workshops.
Guest lecture series by management professionals, along with additional certificate programs each semester.
Campus placement support with national and multinational companies through a dedicated Placement Office and Student Counsellor.
Specialized certificate courses in Excel Modelling, R & Graphics, SPSS, Online Investment/Trading, Ad Design, and Business Analytics.
Supportive learning environment encouraging student research and publications.

Semester 1	25MBA11 – Marketing Management 25MBA12 – Financial Management 25MBA13 – Human Resource Management 25MBA14 – Statistics for Business Decisions 25MBA15 – Entrepreneurship and New Venture Creation 25MBAAI16 – Data Science Fundamentals 25MBAAI17 – Disaster Management 25MBAAI18 – AI Tools in Business
Semester 2	25MBA21 – Managerial Economics 25MBA22 – Organizational Behaviour and Corporate Leadership 25MBA23 – Business Research Methods 25MBA24 – Accounting for Decision Making 25MBA25 – Production and Operations Management 25MBAAI26 – Artificial Intelligence and Machine Learning 25MBAAI27 – Case Study Development 25MBAAI28 – Business Communication
Semester 3	25MBA31 – Innovation and Strategic Management 25MBA32 – Operations Research 25MBA33 – Management Information Systems and Analytics 25MBAAI34 – FinTech Management 2+2 4 25MBAAI35 – AI in FinTech 25MBAAI36 – Consultancy Fundamentals and Practices 25MBAAI37 – Design Thinking and Innovation 25MBAAI38 – Computer-Based Data Analysis
Semester 4	25MBAAI41 – Internship in Industry, Dissertation, and Viva-Voce 25MBAAI42 – Minor Project 25MBAAI43 – SWAYAM / MOOC / NPTEL / Coursera / Infosys Springboard (minimum of two subjects)

Course Objectives

To develop competent management professionals with strong analytical, technological, and strategic decision-making skills.
To provide comprehensive knowledge of Artificial Intelligence and its applications in modern business environments.
To enhance problem-solving, innovation, and research capabilities through data-driven learning and practical exposure.
To build leadership, communication, and teamwork skills for effective business consultancy and digital transformation roles.
To promote ethical, sustainable, and socially responsible use of technology in financial and managerial decision-making.
To encourage lifelong learning and industry engagement through internships, projects, and certification programs.

Course Features

Dynamic, qualified, and friendly faculty with an average experience of over 15 years.
Industry MOUs providing students training in the latest management techniques through certificate programs and workshops.
Guest lecture series by management professionals, along with additional certificate programs each semester.
Campus placement support with national and multinational companies through a dedicated Placement Office and Student Counsellor.
Specialized certificate courses in Excel Modelling, R & Graphics, SPSS, Online Investment/Trading, Ad Design, and Business Analytics.
Supportive learning environment encouraging student research and publications.

Course Syllabus

Course Duration

2 Years, 4 Semesters

Course Eligibility

Any bachelor’s degree from a UGC-recognized university with a minimum of 50% marks. Admission requires a valid score in SUAT or KEA-PGCET.

Course Fees

Where Technology Meets Business Leadership

Gain cutting-edge skills in AI, financial innovation, and consultancy to become the go-to strategist in a fast-evolving business world.

Program

MBA (Artificial Intelligence, Fintech and Consultancy)

Course Duration

Course Eligibility

Course Fees

Where Technology Meets Business Leadership

Admission Enquiry

Mrs. Rajalakshmi

Admission officer, Srinivas University