MGMUInstitute Of management

MGMUInstitute Of management

MGMUInstitute Of management

BBA (Hons./Hons. with Research) Business Analytics

PROGRAMS BBA (Hons./Hons. with Research) Business Analytics

Criteria

Eligibility

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

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

  • Program: Undergraduate (UG)
  • Duration: 4 Year(s)
  • Intake: 60
  • Share:

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 MGMUUniversity. 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

Sr.No. Details of fees Amount Period
1 Tuition Fee 100000 Yearly
2 Application form & MGMU CET 1500 One time
3 Examination fees 5000 Yearly
4 Student Activities 1000 Yearly
5 UMIS and Student Insurance 3000 One time
6 Caution Money Deposit 5000 Refundable
7 Eligibility Fees 5000 One time
8 Alumni Association Membership fees 1000 One time

Program Outcomes

Civil Litigation

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.
Trust & Estates

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.
Best Legal Defense

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.
Civil Litigation

Business Intelligence and Reporting

Master business intelligence tools for tracking KPIs, metrics, and facilitating data-driven decisions.
Trust & Estates

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.
Best Legal Defense

Business Process Optimization

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

Research and Industry Engagement

Apply analytics concepts to real business challenges through research, case studies, and internships to gain practical experience and advance knowledge in the field.
Civil Litigation

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.

Career Prospects

Admission Procedure

Apply Now

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

Sr.No. Faculty Name Faculty Designation
1 Dr. Gurdip Singh Professor
2 Dr. Bhagabat Barik Professor
3 Dr. Pooja Deshmukh Associate Professor
4 Dr. Ashish Mohture Associate Professor
5 Dr. Pravin Govind Shastri Associate Professor
6 Dr. Subhash Pawar Assistant Professor
7 Dr. Ghousia Imam Assistant Professor
8 Ms. Mohini Shinde Assistant Professor
9 Ms. Aarti Kulkarni Assistant Professor
10 Dr. Surinder Sethi Assistant Professor
11 Dr. Yogesh Khandre Assistant Professor
12 Mr. Ranjeet Kakkad Adjunct Faculty
13 Dr. Aparna Kakkad Adjunct Faculty

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

Knowledge Resource Centre

  • The library is a key to the world of knowledge and acquisition of knowledge will help enlighten. The personality of an individual at the vital, spiritual and mental levels and will inculcate social virtues and foster intellectual development to make him a worthy citizen.

Library Hall

  • An Audio-visual hall with video display equipment and a digital library are available.
    e –resources like Emerald, JGate, DelNet.

Industry Collaboration

client 07

client 06

client 05

client 03

client 02

client 01

client 01

client 01