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.
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.
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.
||Legal Aspects of Business
||Business Ethics & Corporate Governance
||Managing People & Performance
||Global Economic Environment
|Probability & Statistics
||Data Modelling & Visualization
|Foundation of Analytics
|Programming for Analytics
||RDBMS & Data Warehousing
|Year – II
||Natural Language Processing (NLP)
||Deep Learning & Artificial Intelligence
|Consulting & Advisory Practices
||Advanced Machine Learning
||Big Data & Ecosystem
|Machine Learning & Analytics
Electives would be in the following specialized domain. Each student has to choose two specialization areas
Fee Structure for 2018-20
|Analytics for Finance
||Marketing & Retail Analytics
||Operations & Supply Chain Analytics
|Finance & Risk analytics
||Supply chain and Logistic Analytics
|Time series forecasting
|Credit Risk modelling
||Web & Social Media Analytics
||Modeling & Optimization
|Research Applications in Finance
||Supply Chain and Logistic Analytics
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.