Program Image

Program Outline

Embark on a data-driven journey into the heart of business strategy and decision-making with our Bachelor of Business Administration (BBA) program in Business Analytics at MGM University. This innovative program, offered with Honors distinction and a focus on research, is tailored for students aspiring to harness the power of data to drive organizational success.

The BBA in Business Analytics Honors program combines foundational business knowledge with advanced training in data analytics, statistical modeling, and predictive analytics. Students delve into topics such as data visualization, machine learning, and big data management, gaining the skills needed to extract actionable insights from complex datasets.

Through a blend of theoretical learning and hands-on experience, students develop proficiency in data analysis tools and techniques, as well as critical thinking and problem-solving abilities. The Honors track offers students the opportunity to conduct original research projects under the guidance of faculty mentors, contributing to the advancement of knowledge in the field of business analytics.

Engage with industry experts, participate in internships, and collaborate on real-world analytics projects that provide practical experience and prepare you for leadership roles in data-driven organizations. Our dynamic learning environment fosters creativity, collaboration, and innovation, empowering students to become effective decision-makers and strategic analysts.

Fees Structure

ParticularsAmountRemarks
Tuition Fees₹100000/-Yearly
Application Form & MGMU-CET₹2000/-One Time
Examination Fees₹5000/-Yearly
Student Activity₹2000/-Yearly
UMIS & Student Insurance₹3000/-One Time
Caution Money Deposit₹5000/-Refundable
Eligibility Fees₹5000/-One Time
Alumni Association Membership fees₹2000/-One Time

Program Outcomes

Foundational Knowledge in Business and Analytics

Students will gain a comprehensive understanding of foundational concepts, theories, and practices in business management, data analytics, and their integration in decision-making processes.

Data Analysis and Visualization Skills

Acquire skills in data collection, cleaning, analysis, and visualization using statistical techniques, data mining algorithms, and visualization tools to derive actionable insights from large datasets.

Predictive Modeling and Forecasting

Develop proficiency in predictive modeling techniques, machine learning algorithms, and forecasting methods to predict business trends, customer behavior, and market dynamics.

Business Intelligence and Reporting

Gain insights into business intelligence tools, dashboards, and reporting systems to monitor key performance indicators, track business metrics, and facilitate data-driven decision-making.

Data-driven Decision-making

Understand how to leverage data analytics to support strategic decision-making processes, optimize business operations, and drive organizational growth and innovation.

Business Process Optimization

Learn to identify opportunities for process optimization, efficiency improvement, and cost reduction through data analysis, process modeling, and performance measurement techniques.

Ethical Data Usage and Privacy Protection

Develop an understanding of ethical considerations and privacy concerns related to data usage, storage, and sharing, and adhere to legal and ethical standards in data analytics practices.

Research and Industry Engagement

Engage in research projects, case studies, and industry internships to apply analytics concepts to real-world business challenges, gain practical experience, and contribute to the advancement of knowledge in the field.

Eligibility

1). The candidate should have passed 10+2 from recognized board, with min of 50% marks(45% for reserved categories).

2). Foreign students should have passed an equivalent exam and must have required proficiency in English Language.

Career Prospects

Business Intelligence Analyst
Business Intelligence Analyst
Business Analyst
Business Analyst
Marketing Analyst/Digital Marketing Analyst
Marketing Analyst/Digital Marketing Analyst
Financial Analyst/Financial Planning & Analysis (FP&A) Analyst
Financial Analyst/Financial Planning & Analysis (FP&A) Analyst
Supply Chain Analyst/Logistics Analyst
Supply Chain Analyst/Logistics Analyst

Admission Procedure

Step

1

Register on admissions.mgmu.ac.in

Step

2

Fill Application Form

Step

3

Receive entrance test link for MGMU CET (Date will reflect on Student Dashboard / Website)

Step

4

Appear for MGMU CET

Step

5

Check Merit List on Dashboard

Step

6

Verification and Submission of Documents

Step

7

Fees Payment

Step

8

Welcome to MGMU

Teaching Faculty

Faculty NameDesignation
Dr. Ranit KishoreProfessor and Director
Dr. Bhagabat BarikProfessor and Deputy Director
Dr. Gurdip Harbans SinghProfessor and Deputy Director
Dr. Ashish Ramesh MohtureAssociate Professor
Dr. Pravinkumar Govind ShastriAssociate Professor
Dr. Surinder B. SethiAssociate Professor
Dr. Yogesh Bhikan KhandreAssociate Professor
Dr. Medha Harshad KulkarniAssociate Professor
Dr. Bhakti Banwaskar DeshmukhAssistant Professor
Dr Ghousia ImamAssistant Professor
Dr. Lubna Javed Hasan SiddiquiAssistant Professor
Dr. Manisha Bhimrao UjgareAssistant Professor
Dr. Riyaz Ahmed QureshiAssistant Professor
Dr.Vottiprolu Vijaya KumarAssistant Professor
Ms. Mendke Suchitra SatishchandraAssistant Professor
Mr. Hrishikesh Satyakumar KakdeAssistant Professor
Ms. Mohini Dattatray ShindeAssistant Professor
Ms. Sujata Vitthal RathodAssistant Professor
Ms. Sayali Shrikant KaleAssistant Professor
Ms. Mrunal Laxmikant AglaweAssistant Professor
Ms. HimaniAssistant Professor
Ms. Kulkarni Arti NagoraoAssistant Professor
Mr. Adarsh SahaAssistant Professor
Mr. Swami DandgavalAssistant Professor
Mr. Shubam RavangaveAssistant Professor
Mr. Manish AmruteAssistant Professor
Kakkad Aparna RanjitAdjunct Faculty
Kakkad Ranjit GurumohanAdjunct Faculty

Department Infrastructure

Lecture Halls

Lecture Halls

The lecture halls have been designed adhering to the principles of ergonomics to offer ample ease and convenience. The classrooms are furnished with the latest audio-visual aids and IT equipment.

Vinoba Bhave Hall

Vinoba Bhave Hall

Vinoba Bhave Hall is a state-of-the-art academic facility fostering innovative learning and research initiatives.

Knowledge Resoure Centre

Knowledge Resoure Centre

Knowledge Resource Center (library) of the Institute is very well equipped with all types of learning resources. A valuable treasure of 32000+ printed books, more than one lakh e-books, international and national journals is held with the KRC. Books on latest subjects, general knowledge and for competitive exams are made available.

Library Hall

Library Hall

An Audio-visual hall with video display equipment and a digital library are available. e –resources like Emerald, JGate, DelNet, adequate number of newspapers and magazines and Research Data Bases are available for research.

Industry Collaboration

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