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Post Graduate Diploma in Management (Research & Business Analytics-2018-20)

The Post-Graduate Diploma in Management (Research & Business Analytics) programme is designed to provide in-depth knowledge of research & analytical concepts, techniques and their applications in improving business processes and decision-making. The objective of the course is to facilitate in-depth exposure to the students regarding methodologies and practices of Research & Business Analytics and preparing them for the emerging needs of industry in the various functional domains of research & analytics. It provides opportunity of hands-on learning through industry driven research & analytics projects in finance, marketing, retail, operations, human resources and other business domains. The programme aims at:
Imparting industry-aligned knowledge and training to students in research & business analytics.
Understanding business environment through in-depth analysis of available facts & data and taking business decisions.
Inculcating an ability to process large amounts of data by providing hands-on experience with tools like R, Python, SPSS, Watson Analytics, Hadoop, etc.
Developing competent and effective managers with research & decision-making skills.

Programme Structure:
The Two Year Full-Time Post Graduate Diploma in Management (Research & Business Analytics) programme comprises six trimesters. During the first year the emphasis is primarily on basic courses, to build a foundation of conceptual and analytical skills, required for pursuing specialized study in various functional areas. The basic course includes statistics, spreadsheet modeling, economics, accounting, marketing, HRM, communication, etc. For promotion to the Second year, each student is required to secure minimum CGPA of 5.00 and not have more than three F/I Grades.

In the second year, students opt elective courses in addition to few compulsory courses. This enables them to pursue in–depth learning in the areas of their specialization. The electives cover a minimum of two functional areas, which equip LBSIM graduates to sharpen their cross-functional skills. During this year students undertake a project study under the guidance of a faculty member with the aim of gaining insights into actual corporate realities by studying a business problem or a situation.  

Summer Training:  
Every student is required to undertake summer training in a reputed company for the duration of 8-10 weeks as part of course curriculum after the third trimester examination. They also need to undertake a project assignment with company. The summer training offers an opportunity to the students to have hands on practical experience, and allows them to relate the conceptual and analytical skills acquired in classroom to actual managerial practices.

Year-I
Trimester-I Trimester-II Trimester-III
Managerial Economics Corporate Finance Legal Aspects of Business
Business Communication Marketing Management Business Ethics & Corporate Governance
Managerial Accounting Managing People & Performance Global Economic Environment
Organizational Behavior Research Methodology Design Thinking
Probability & Statistics Management Science Data Modelling & Visualization
Foundation of Analytics Advanced Statistics Operations Management
Programming for Analytics RDBMS & Data Warehousing Term Paper-I
Year – II
Trimester-IV Trimester-V Trimester-VI
Strategic Management Natural Language Processing (NLP) Deep Learning & Artificial Intelligence
Consulting & Advisory Practices Advanced Machine Learning Big Data & Ecosystem
Machine Learning & Analytics Elective-3 Elective-6
Elective-1 Elective-4 Elective-7
Elective-2 Elective-5  
Term Paper-II Term Paper-III Term Paper-IV

Electives
Electives would be in the following specialized domain. Each student has to choose two specialization areas
Analytics for Finance Marketing & Retail Analytics Operations & Supply Chain Analytics
Finance & Risk analytics Consumer Analytics Supply chain and Logistic Analytics
Time series forecasting Pricing Analytics Six Sigma
Credit Risk modelling Web & Social Media Analytics Modeling & Optimization
Research Applications in Finance Supply Chain and Logistic Analytics Operations Analytics

Fee Structure for 2018-20

Note: The above fees is inclusive of tuition fees, library, books and reading material, and Refundable Security Deposit (Rs. 5,000/-) for the programme. However, Management Grid Contribution of Rs.21,000/- (For Full Course), Alumni fee Rs. 7,000/- (Life Membership) and Examination Fee are required to be paid, in addition to the above fees, at the time of admission.