Narayana Business School, Sarkhej Bavla Road, Nr. Sanathal Cir, Sanathal, Ahmedabad,
Gujarat – 382210 | +91 844 8444 981 | admission@nbs.edu.in
NBS PROGRAMS
PGDM – Dual Specialization
PGDM – Data Science and Analytics
PGDM – Quantitative Finance
MBA + PGPCE
MBA
Life at Campus
Placements
NBS PROGRAMS
PGDM – Dual Specialization
PGDM – Data Science and Analytics
PGDM – Quantitative Finance
MBA + PGPCE
MBA
About
Admission
Academic Programs
Faculty & Insights
Life at Campus
Campus Infrastructure
Placements
PGDM Data Science & Business Analytics
Course Curriculum at NBS
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
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| 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. |
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 | ||
| 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 | ||
| 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 | ||
| 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 | ||
| 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 | ||
