MBA BUSINESS ANALYTICS MBA BUSINESS ANALYTICS Curriculum and Syllabus (Based on Choice Based Credit System) Effective from the Academic year 2018-2019 Department of M.B.A School of Management Studies VISTAS MBA Program Outcomes The following outcomes have been identified by the School of Management and commerce, Faculty Council, as important for students to be able to perform at the conclusion of the MBA program. The MBA curriculum has been mapped to these outcomes, which are regularly assessed to identify levels of student achievement and areas of improvement. Students who are Graduates of the Master of Business Administration degree program will be able to: 1. Apply knowledge of management techniques in business environment 2. Evaluate the systems and processes used in an organization including the planning, decision-making, group dynamics, innovation, production, supply chain, operations, technologies, marketing and distribution management. 3. Design alternatives to solve business problems utilizing quantitative analysis, critical thinking and sound ethical decision making. 4. Use research based knowledge and methods including company analysis, primary and secondary data collection, analysis and interpretation of data to find solution to business problems 5. Demonstrate effectively on analysing, interpreting and solving problems in developing business projects using appropriate tools and techniques. 6. Apply economic models, accounting principles, statistical techniques, and financial theories, analysis, and reporting in business decision-making. 7. Organize tools and techniques from Various Functional areas(i.e Finance , Marketing, Human Resources, operations etc) to handle business problems. 8. Evaluate and combine ethical considerations in making business decisions 9. Communicate effectively in various forms by effective use of recent technology and logical reasoning for presentations, documentation, report writing ,manual preparation . 10. Adapt life-long learning and professional development to enrich knowledge and competencies 11. Perceive an aptitude for creativity, innovation and entrepreneurship. 12. Demonstrate a global outlook with ability to identify aspects of the global business operations. MBA BUSINESS ANALYTICS Program Specific Outcomes PSO – 1: Apply knowledge of management techniques in business environment. PSO – 2: Design predictive and descriptive analysis on the basis of data. PSO – 3: Evaluate the systems and processes used in an organization including the planning, decision-making, group dynamics, innovation, production, supply chain, operations, technologies, marketing and distribution management. PSO – 4: Design alternatives to solve business problems utilizing quantitative analysis, critical thinking and sound ethical decision making. PSO – 5: Use research based knowledge and methods including company analysis, primary and secondary data collection, analysis and interpretation of data to find solution to business problems. PSO – 6: Organise and critically apply the concepts and methods of business analytics. PSO – 7: Interpret data using latest data analytics tools to address organisational problem. PSO – 8: Demonstrate a global outlook with ability to identify aspects of the global business operations. PSO – 9: Interpret data using latest data analytics tools to address organisational problem. PSO – 10: Summarise, process and transform data for obtaining meaningful conclusions. PSO – 11: Communicate effectively in various forms by effective use of recent technology and logical reasoning for presentations, documentation, report writing, manual preparation. PSO – 12: Adapt life-long learning and professional development to enrich knowledge and competencies. VISTAS SCHOOL OF MANAGEMENT STUDIES BOARD OF STUDIES MEMBERS MBA (GEN), MBA (LSM), MBA (LSCM) and MBA (BA) Sl.No Name & Address Designation Dr.P.R. Ramakrishnan, 1. Dean, School of Management Studies, Chairperson VISTAS, Chennai-600117 Dr.R.Thenmozhi, Professor and Head, 2. External Expert Department of Management Studies, Madras University, Chennai Mr.K.V.V.Giri 3. President CCHA, External Expert M/S Vaishnavi freight logistics Pvt ltd. Mrs.Sripriya, 4. Operations Programme Manager, TCS Alumni Dr.S.Vasantha , Internal Member 5. Professor, School of Management Studies, VISTAS,Chennai-600117 Dr.S.Preetha, Internal Member 6. Associate Professor,School of Management Studies, VISTAS,Chennai-600117 Dr.G.Rajini Internal Member 7. Associate Professor,School of Management Studies, VISTAS,Chennai-600117 Dr.P.Shalini Internal Member 8. Associate Professor, School of Management Studies, VISTAS,Chennai-600117 Dr.P.G.Thirumagal 9. Assistant Professor, School of Management Studies, Internal Member VISTAS,Chennai-600117 Dr.Madhumita.G Internal Member 10. Assistant Professor, School of Management Studies, VISTAS,Chennai-600117 VISTAS DEGREE OF MASTER OF BUSINESS ADMINISTRATION MBA BUSINESS ANALYTICS CHOICE BASED CREDIT SYSTEM REGULATIONS w.e.f. 2018 1. ELIGIBILITY FOR THE AWARD OF DEGREE: A candidate shall be eligible for the award of the Degree only if he/she has satisfactorily undergone the prescribed Course of Study in a College affiliated to this University for a period of not less than TWO academic years and, passed the examinations of all the FOUR Semesters. 2. DURATION OF THE COURSE: The course for FULL-TIME students shall extend over a period of TWO academic years consisting of FOUR Semesters. Each academic year shall be divided into Two Semesters. The FIRST academic year shall comprise the First & Second Semesters, the SECOND academic year the Third & Fourth Semesters. The ODD Semesters shall consist of the period from July to November of each year andthe EVEN Semesters from January to April of each year. The duration of each semester will be about 16 weeks. The subjects of study shall be in accordance with the syllabus prescribed from time to time which may be amended through a board of studies members. CONDITIONS FOR ADMISSION: Candidates shall be required to have passed any Bachelor's Degree of any University/Institute of college or of any other University or a qualification accepted by the Syndicate of this University as equivalent thereto, shall be eligible for admission to MBA Degree Course. 3.1. COURSE OF STUDY AND SCHEME OF EXAMINATIONS (FULL TIME) The total number of subjects of study shall be 25 out of which 17 shall be compulsory subjects and of the remaining 8 will be Electives, Internship after Second semester and Project Work in the Final Semester with a Viva-voce. The FULL-TIME candidates shall take 8 subjects (Theory) in the First semester, 8 subjects (Theory) in the Second Semester, 9 subjects (Theory) in the Third Semester and a Summer Internship and a Project Work. 3.2. ELECTIVE SUBJECTS: To offer Elective Subjects to the students, a Minimum enrolment in the Elective Subjects shall be TEN. PROJECT REPORT & VIVA VOCE: The Project Report must be submitted through the Supervisor and the Head of the Department at the end of the final semester ie following the third semester Examination failing which the candidate will be treated as appearing on a second occasion and shall NOT BE ELIGIBLE for First Class and Ranking. MBA – BUSINESS ANALYTICS SEMESTER I Hour / Week Code Course Credits Lecture Tutorial Practical Management Principles & 18CMBN11 4 0 0 4 Organisational Behaviour 18CMBN12 Business Statistics 3 1 0 4 18CMBN13 Managerial Economics 4 0 0 4 18CMBN14 Financial Reporting , Statements & 3 1 0 4 Analysis 18CMBN15 Legal & Business Environment 4 0 0 4 18CMBN16 Business Communication 4 0 0 4 18PMBN11 Database Management System & SQL 0 0 2 1 18PMBN12 Emerging Areas of Business Analytics 0 0 2 1 18PMBN13 Mini Project 0 0 2 1 Community Development Project / 18PMBN14 MOOC / Outbound Experential 0 0 2 1 Learning Programme 22 2 8 28 SEMESTER II Hour / Week Code Course Credits Lecture Tutorial Practical 18CMBN21 Operations Management 4 0 0 4 18CMBN22 Human Resources Management 4 0 0 4 18CMBN23 Research Methodology 4 0 0 4 18CMBN24 Marketing Management 4 0 0 4 18CMBN25 Quantitative Techniques 3 1 0 4 18CMBN26 Business Intelligence 4 0 0 4 18CMBN27 Data Cleaning, Normalisation & Data 4 0 0 4 Mining 18PMBN21 Spreadsheet Modelling 0 0 2 1 Foundation course in Business 18PMBN22 0 0 2 1 Analytics (Cognos Insight)* 18IMBN21 Internship 0 0 0 6 27 1 4 36 SEMESTER III Hour / Week Code Course Credits Lecture Tutorial Practical 18EMBN…. Elective I 3 0 0 3 18EMBN…. Elective II 3 0 0 3 18EMBN…. Elective III 3 0 0 3 18EMBN…. Elective IV 3 0 0 3 18EMBN…. Elective V 3 0 0 3 18EMBN…. Elective VI 3 0 0 3 18EMBN…. Elective VII 3 0 0 3 18EMBN…. Elective VIII 3 0 0 3 Foundation Course on Predictive 18PMBN31 0 0 2 1 Analysis(IBM SPSS*) Foundation Course in Descriptive 18PMBN32 0 0 2 1 Analysis(IBM)* Foundation course in Big data and 18PMBN33 0 0 2 1 Hadoop 24 0 6 27 SEMESTER IV Hour / Week Code Course Credits Lecture Tutorial Practical 18PMBN41 Project Work 0 0 20 10 Foundation Course in Big data 0 0 2 1 Analytics (IBM Infosphere Big Insight) 0 0 22 11 Total: 102 Internship: The students have to undergo an Internship for thirty days in between second and third semester. The maximum marks for Internship will be 100. The Internship will be evaluated through Viva voce Exam by the guide and an External expert. Project: The students will do a Project work for Four months in the Fourth Semester. The Maximum marks for Project Work will be 300. The project Work will be evaluated through Viva voce Exam by the guide and an External expert. The components of Project Work will be 100 marks for Dissertation and 200marks for Viva voce. ELECTIVE COURSES FUNCTIONAL SUBJECT COURSES AREA CODE 18EMBN01 Advanced Research Methods and Predictive Analysis 18EMBN02 Business Optimization and Big Data Analytics 18EMBN03 Data Science using R Programming 18EMBN04 Supply Chain Analytics 18EMBN05 HR Analytics Analytics 18EMBN06 Marketing and Retail Analytics 18EMBN07 Social and Web Analytics 18EMBN08 Healthcare Analytics 18EMBN09 Pricing Analytics for Revenue Management 18EMBN10 Data Visualization for Managers 18EMBN11 Stochastic Modeling FUNCTIONAL SUBJECT COURSES AREA CODE 18EMBN12 Simulation Modeling 18EMBN13 Data Mining for Business decisions 18EMBN14 Time Series Analysis 18EMBN15 Operations Research Applications 18EMBN16 Quality Toolkit for Managers 18EMBN17 Economic Analysis and Decision Making Management 18EMBN18 Business Forecasting 18EMBN19 Business Strategy 18EMBN20 E-Commerce and Digital Markets 18EMBN21 E-Business 18EMBN22 SAP FICO 18EMBN23 SAP SD 18EMBN24 SAP MM 18EMBN25 SAP HCM Management 18EMBN26 Managing Software Projects Information 18EMBN27 Digital Innovation and Transformation System 18EMBN28 Modeling Techniques and IT for Operations Management 18EMBN29 Data Security 18EMBN30 Cloud Computing 18EMBN31 IT Consulting 18EMBN32 Environmental Studies 18EMBN33 Indian Ethos and Business Ethics Entrepreneurship 18EMBN34 Ethical and Legal Aspects of Analytics 18EMBN35 E-Governance & Cyber Law 4. REQUIREMENTS FOR PROCEEDING TO SUBSEQUENT SEMESTER: a. Candidates shall register their names for the First Semester Examination after the admission in PG Courses. b. Candidates shall be permitted to proceed from, the First Semester up to Final Semester irrespective of their failure in any of the Semester Examination subject to the condition that the candidates should register for all the arrears subjects of earlier semester along with current (subsequent) Semester subjects. c. Students appearing for the University examinations must have a minimum of 75% attendance, failing which will not be permitted to write the examinations.