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NBS PROGRAMS

PGDM – Dual Specialization

PGDM – Data Science and Analytics

PGDM – Quantitative Finance

MBA + PGPCE

MBA

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Narayana Business School, Sarkhej Bavla Road, Nr. Sanathal Cir, Sanathal, Ahmedabad,
Gujarat – 382210 | +91 844 8444 981 | admission@nbs.edu.in

Post Graduate Diploma in Management -Data Science and Analytics.
Program Structure

Objective A Two-year full-time program designed to create Techno managers with an analytical approach towards solving business problems using data visualisation & decision-making tools take your career to the next level in the field of Data Science.
Duration
(In months)
24 (Full Time)
Intake 30
Eligibility The candidate must hold a bachelor’s degree or equivalent examinations in any discipline with at least 60% marks or an equivalent CGPA. The candidate must have appeared for any recognized Management Entrance Examination like CMAT, CAT, MAT, XAT etc and NBSAT (NBS Aptitude Test), a national-level management entrance exam devised by Narayana Business School, which accesses the candidate’s Mathematical Aptitude, General Knowledge, Verbal Ability & Abstract Reasoning.
SELECTION PROCEDURE

Students will be evaluated on the following parameters

NBSAT Score (out of 100, scale down to 40 marks) 40%
Academic Performance & Prior Work Experience   20%
Statement of Purpose - (SOP) 20%
Personal Interview  20%
Total 100%
MEDIUM OF INSTRUCTION English
PROGRAMME PATTERN Trimester
FEE 7,95,000 for two years (Excluding Hostel amenities)
ASSESSMENT Each course will have weightage of 100 marks wherein 50% will be of Continuous Evaluation Components & 50% will be of Term End Examination.
STANDARD OF PASSING Maximum Grade Point (GP) is 10 corresponding to O (Outstanding). For all courses, a student is required to pass both Continuous Evaluation Components and Term End Examination separately with a minimum Grade Point of 4 corresponding to Grade PASS. Students securing less than 40% absolute marks in each head of passing will be declared FAIL.
AWARD OF DEGREE/ DIPLOMA/ CERTIFICATE Post Graduate Diploma in Management will be awarded at the end of semester VI examination by taking into consideration the performance of all semester examinations after obtaining minimum CGPA of 4 out of maximum of 10 CGPA.
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Program Summary

TRIMESTER TOTAL CREDITS CEC TERM-END TOTAL MARKS
TRIMESTER - I 25 450 450 900
TRIMESTER - II 25 450 400 850
TRIMESTER - III 25 450 400 850
TRIMESTER - IV 25 450 400 850
TRIMESTER - V 22 400 300 700
TRIMESTER - VI 12 200 200 400
SUMMARY 134 2400 2150 4550

Course Details

TRIMESTER 1-CORE COURSES
COURSE CODE COURSE NAME CREDIT CEC TERM END TOTAL
1PGDMDSA01 Fundamentals of Programming Using Python 3 50 50 100
1PGDMDSA02 Statistics for Data Science - I 3 50 50 100
1PGDMDSA03 Data Visualization Techniques - I 3 50 50 100
1PGDMDSA04 Relational Database Management Systems 3 50 50 100
1PGDMDSA05 Effective Business Communication 3 50 50 100
1PGDMDSA06 Perspective Management 3 50 50 100
1PGDMDSA07 Managerial Economic 3 50 50 100
1PGDMDSA08 Foundations of Data Science 2 50 50 100
1PGDMDSA09 Shell Scripting for Beginners 2 50 0 50
  Total Credits 25 Total Marks 900
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TRIMESTER 2 - CORE COURSES
COURSE CODE COURSE NAME CREDIT CEC TERM END TOTAL
2PGDMDSA01 Big Data Analytics using Hadoop -I 3 50 50 100
2PGDMDSA02 Statistics for Data Science - II 3 50 50 100
2PGDMDSA03 Data Visualization Techniques using Python 3 50 50 100
2PGDMDSA04 Data warehousing 3 50 50 100
2PGDMDSA05 Data Mining Techniques 3 50 50 100
2PGDMDSA06 Marketing Principles and Applications 3 50 50 100
2PGDMDSA07 Human Resource Management 3 50 50 100
2PGDMDSA08 Financial reporting &Analytics 3 50 50 100
2PGDMDSA09 Personal Competence and capability Building -II 1 50 ** 50
  Total Credits 25 Total Marks 850

TRIMESTER 3 - CORE COURSES
COURSE CODE COURSE NAME CREDIT CEC TERM END TOTAL
3PGDMDSA01 Big Data Analytics using Hadoop -II 3 50 50 100
3PGDMDSA02 Machine Learning using Python -1 3 50 50 100
3PGDMDSA03 Data Visualization Techniques Using Power BI 3 50 50 100
3PGDMDSA04 Big Data Analytics using Spark 3 50 50 100
3PGDMDSA05 Cloud Computing 3 50 50 100
3PGDMDSA06 Legal Aspects of IT Business 3 50 50 100
3PGDMDSA07 Corporate Finance 3 50 50 100
3PGDMDSA08 Research Methodology using R 3 50 50 100
3PGDMDSA09 Personal Competence and Capability Building -II 1 50 ** 50
  Total Credits 25 Total Marks 850
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TRIMESTER 4 - CORE COURSES
COURSE CODE COURSE NAME CREDIT CEC TERM END TOTAL
4PGDMDSA01 Corporate Interface through Summer Internship 6 100 100 200
4PGDMDSA02 Machine Learning Using Python -II 3 50 50 100
4PGDMDSA03 Data visualization Techniques using Tableau 3 50 50 100
4PGDMDSA04 NoSQL Databases 3 50 50 100
4PGDMDSA05 Neural Network Science 3 50 50 100
4PGDMDSA06 Operations Research 3 50 50 100
4PGDMDSA07 Entrepreneurship 2 50 50 100
4PGDMDSA08 Digital & Social Media Analytics 2 50 ** 50
  Total Credits 25 Total Marks 850
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TrIMESTER 5 - CORE COURSES
COURSE CODE COURSE NAME CREDIT CEC TERM END TOTAL
5PGDMDSA01 Strategic Management 3 50 50 100
5PGDMDSA02 Natural Language Processing & Text Mining 3 50 50 100
5PGDMDSA03 Advanced Neural Network Science 3 50 50 100
5PGDMDSA04 Ethics and Data Governance for Data Science 3 50 50 100
5PGDMDSA05 Project Management using JIRA 3 50 50 100
5PGDMDSA06 AI for Business 3 50 50 100
5PGDMDSA07 Personal Competence and capability Building -III 2 50 ** 50
5PGDMDSA08 HACKATHON 2 50 ** 50
  Total Credits 25 Total Marks 700
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TRIMESTER 6 - CORE COURSES
COURSE CODE COURSE NAME CREDIT CEC TERM END TOTAL
6PGDMDSA01 Capstone Project 6 100 100 200
6PGDMDSA02 IPR 3 50 50 100
6PGDMDSA03 Internet of Things 3 50 50 100
  Total Credits 25 Total Marks 400
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