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ONLINE MBA

University: DR. D.Y. PATIL VIDYAPEETH
Specialization : Business Analytics
Duration: 2 Year
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Key Features
Curriculum
Fees
Special Offers

Eligibility:

A candidate applying for programme should have passed a bachelor’s degree from a recognized university in any discipline.

Minimum 50% aggregate marks or 45% in case of candidates belonging to reserved categories.


Key Features:

Academic: Student Services:

E-Tutorial Toolkit is an integral part of our course delivery as they are best suited for online learning. You can get an access to video and audio contents, animations, simulations anywhere you want.

Program Orientation Sessions – Regular program orientation sessions are conducted before commencing any topic. So, the learner can get an overview of the subject.

Academic Calendar with Weekly Planner Learner will be provided with weekly schedule of lectures, exams, assignments etc. so that they can manage your time accordingly in advance.

Live Interactive Virtual Classes - Students can attend a live online classroom and interact with an expert faculty via internet. Students can ask questions, have interaction, and even replay an archived lecture. Virtual sessions will be conducted for all courses throughout the year.

Case-based learning (CBL) - Learning is of value only when one can apply it in real-world scenarios. CBL is a crucial part of our programs hence promoting higher levels of cognition, versatility, and efficient self-guided learning.

Counselling Sessions - Our faculty is dedicated towards learner’s success Learner is encouraged to reach out to the faculty with any queries and get them resolved any time.

Self-Assessment Kit comprising of MCQ, problems, quizzes, assignments and solutions and setting up the FAQs and clarifications on general misconceptions.

Last Minute Revision Sessions – These sessions prove to be quite helpful during examinations, where learner will be able to test how prepared they are and work accordingly.

Webinars with Industry Experts – Regular webinars with renowned academicians, business leaders and industry partners allow learners to connect with them and understand real-world scenario.

Discussion Forums – Peer to peer interaction is facilitated through Live chats to aid query resolution, knowledge sharing and networking.

Additional certificate courses provided through EdX.

Access to unlimited Journals for additional material.

Online counselling by experienced counsellors to choose appropriate program.

Program is suggested as per the seniority of applicant in the industry.

Handholding by counsellor till the beginning of the session.

Post admission handover to a Mentor for constant guidance for the entire duration of the course.

Peer group participation, collaboration and networking encouraged through online discussion forum.

Extra expert session for Pre-placement Training for learners to be job ready.

Access to Strong Alumni Network.

Virtual Job fairs for placement opportunities.


Curriculum:

SEMESTER 1

Principles and Practices of Management

Organizational Behaviour

Management Accounting

Managerial Economics

Business Communication

Research Methodology

Environmental Awareness & Disaster Management

SEMESTER 2

Human Resource Management

Marketing Management

Financial Management

Operations Management

Management Information System

Strategic Management & Business Policy

Entrepreneurship Development

SEMESTER 3

Business Analytics-I

Business Analytics-II

DBMS

Business Statistics and Econometrics

Performing Analytics with Python.

R programming for Data analysis and Visualization

Generic Elective-I

For General Elective-I, select one of the following:

Digital Marketing

Business English

SEMESTER 4

Business Mathematics & Optimization Techniques

Python Programming for data visualization

Generic Elective-II

Project Work Report

For General Elective-II, select one of the following:

Business Ethics & Corporate Governance

Soft Skills


Fee Details:

Full Fee: Rs. 169200.00

Fee per year: Rs. 84600.00

Fee per semester: Rs. 45000.00

Disclaimer:

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