PGDM -
DATA SCIENCE
& ANALYTICS
WELCOME TO THE MOST LOVED
BUSINESS SCHOOL OF INDIA
www.nbs.edu.in
PGDM - DATA SCIENCE & ANALYTICS
OVERVIEW
With an ever-evolving technological environment, it has become
imperative to understand growing data-centric business processes,
information and knowledge, in order to take tactical and strategical
decisions. PGDM in Data Science nurtures skills needed to handle data
analytics lifecycle and business problems through a combination of
skills, technologies, applications and processes used by organizations
to gain data-driven insights. This career-enriching program provides
rigorous theoretical and practical training, on data management,
programming, statistics, machine learning, and artificial intelligence.
This program is unique in its own way wherein top-notch faculty, worldclass campus facilities and industry speaker series are brought
together, which brings the latest research, best practices and domain
knowledge to the diverse mix of students.
With coding and IT skills, students will have a good scope of shining in
this field. Students are likely to get job opportunities as Risk Analyst,
Data Analyst, Business Analyst or Data Scientist in banks, IT
companies, Software industry and service industry.
Those who are looking forward to switching from an IT profile to a
business profile then this program offers the brightest option for you.
PGDM in Data Science is a correct career choice for those candidates
who wish to develop a deep understanding of managing complex data
structures under a given technical environment.
Orientation & Pedagogy
The PGDM- Data Science & Analytics program has a very clear and
strong focus on the application aspects of the concepts learned and
practised in industry. The program is a blend of classroom teaching,
case analysis, simulation, modelling, scenario building, industry
analysis etc. as pedagogy. Apart from the academic rigour which
ensures that students learn and apply key concepts and analytical
tools, it also provides opportunities for students to develop their
communication, leadership, interpersonal and networking skills. These
attributes are critical in today's increasingly competitive world and
fast-changing business environment.
Our strategy is two-pronged
Corporate Ready
The students are prepared for functioning in the corporate environment
through internships and simulations. They develop the focus and
thought process required for a demanding job and its environment
through practical oriented assignments. The critical thinking so
developed helps them in understanding the business issues in depth
and coming up with feasible solutions. The interpersonal skill set
learned at the college helps them to maintain and work through
challenging situations.
Entrepreneurial Skills
Due to the student-centric approach followed at NBS, we spot the
entrepreneurial mindset of students much earlier. This allows us to plan
and customize the challenges they are allocated at the college. The
various situations they are put in to help them to hone their
entrepreneurial skills. There are a lot of industry networking
opportunities and mentoring by industry personnel to help them finetune their ideas. Further, the college also provides incubation to
innovate and feasible ideas to build up their morale.
PROGRAM FAQ's
Why the PGDM Data Science & Analytics is right for you?
It is very important to know that whatever course you choose is in
demand or not?
A big reason for taking up Data Science and Analytics as a career are
1. 40% rise in demand approximately for Data Science and Business
Analytics since January 2021 and more than 300% since 2019.
2. India is the second highest country to recruit employees in the field
of Data Science and Business Analytics with 50000 positions
available – second only to US.
3. The demand of Techno Manager is “high in demand jobs” in India as
well as around the world. Let's be honest, money is the best
motivator when it comes to choosing the career path and it is
important factor for you also.
4. Data Science and Analytics is in top 10 highest paying jobs in India
2021.
The integration of Data Science and Business Strategy has created a
demand for Professionals who can make data-driven decisions that
propel their organizations forward. You can build the essential analysis
and leadership skills needed for careers in today's data-driven world at
Narayana Business School's PGDM – Data Science & Analytics
Program.
What is PGDM Data Science & Analytics?
Narayana Business School's PGDM (Data Science & Analytics) is an
AICTE-approved two-year full-time specialized program for any
graduates who are passionate about shaping a career in Data Science
& Analytics.
Data science
The science of data that uses algorithms, statistics, and technology is
known as Data Science. It provides actionable insights on a range of
structured and unstructured data solving a broader perspective such as
customer behavior.
Business Analytics
The statistical study of mostly structured business data is known as
Business Analytics. It provides solutions to specific business problems
and roadblocks.
In the first three trimesters, students complete core courses that
provides a thorough, and integrated foundation in management ,data
science & analytics essentials and summer internship while in the last
three trimesters they get exposure and hands-on experience on recent
technologies related to data science & analytics at the same time,
students also get exposure to independent projects, seminars, and
finally, end with industry project of 4 months duration. The idea behind
industry project is to leave an impact on the recruiters on the program's
delivery and to create confidence and empower students to face “real
world” challenges.
DATA SCIENTIST VS BUSINESS ANALYST
FACTORS
DATA SCIENTIST
BUSINESS ANALYST
Concept
Analyzing Data
Analyzing client &
business requirements
Role
Analyzing patterns in
the data and make
suitable decisions
Interacting with clients
and project managers
to analyze their needs
Industry
E-commerce, social
media, finance,
banking
Limited to businesses
and consultancy
services
Annual Salary
$117,345
$69,163
Tools
SAS, R, Python, SPSS
Excel, Tableau, BEAM
DATA SCIENTIST VS DATA ANALYST
FACTORS
DATA SCIENTIST
DATA ANALYST
Background
A Data Scientist deals
with various data
operations
A Data Analyst's role
is related to data
cleaning, transforming
and generating
Inferences from data.
Scope
Involved with several
underlying data
procedures
Involvement is limited
to small data and
static inferences
Type of Data
Handles structured
& unstructured data
Deals with structured
data only
Skills
Possesses knowledge
of mathematics,
statistics & machine
learning algorithms
Has problem solving
skills, knowledge of
basic statistics
Tools
Proficient in SAS,
Python, R, TensorFlow,
Hadoop, Spark
Knows Excel, SQL,
R (in some cases),
Tableau
WHAT IS THE DIFFERENCE
BETWEEN DATA SCIENCE,
DATA ANALYSIS, BIG DATA,
DATA ANALYTICS,
DATA MINING &
MACHINE LEARNING?
MACHINE LEARNING
DATA MINING
Artificial intelligence
technique that is broadly
used in Data Mining
Uses the
predictive forte of
machine-learning
by applying various
machine learning
algorithms to
Big Data
Uses a training dataset
to build a model that can
predict values of target
variables
DATA ANALYTICS
BIG DATA
Huge data volumes that
cannot be processed
effectively with traditional
applications
Begins with raw data that
is not aggregated and it is
often impossible to store
such data in the memory
of a single computer
Automating insights into a
dataset and supposes the
usage of queries and data
aggregation procedures
Can represent various
dependencies between
input variables, but also can
use Data Mining techniques
and tools to discover hidden
patterns in the dataset
under analysis
DATA ANALYSIS
DATA SCIENCE
Deals with structured
and unstructured data
Everything that relates
to data cleansing,
preparation and analysis
Human activities aimed
at gaining some insight
on a dataset analysis
An analyst can use some
Data Analytics tools to
obtain desired results, but
in principle, Data Analysis
can be performed without
special data processing.
What is the difference between Data Science & Business Analytics?
Data Science vs Business Analytics, often used interchangeably, are
very different domains. A layman would probably be least bothered
with this interchangeability, but professionals need to use these terms
correctly as the impact on the business is large and direct.
Simply put, Data science is the study of Data using statistics which
provides key insights but not business changing decisions whereas
Business Analytics is the analysis of data to make key business
decisions for the company.
DATA SCIENCE
BUSINESS ANALYTICS
It is the science of Data study
using statistics, algorithms
and technology
It is the statistical study of
business data
Uses both structured and
unstructured data
Uses mostly structured data
It is a combination of
traditional analytics practices
with sound computer science
knowledge including coding
It is oriented more towards
statistics and does not involve
much coding
Top industries where Data
Science finds its applications are:
Top Industries where Business
analytics finds its applications are:
a.
b.
c.
d.
a.
b.
c.
d.
Technology
Finance
E-commerce
Academic
Finance
Technology
Marketing
Retail
The future applications of Data
Science would be witnessed in
Artificial Intelligence and
Machine Learning
The future applications of
Business Analytics would be
witnessed in Cognitive Analytics
and Tax analytics
Data Science results give
insights but usually not used
for making Business Decisions
Business Analytics results are
vital to the key decision makers
Studies trends and patterns
Works on specific business
problems
What are the benefits of PGDM Data Science & Analytics?
PGDM Data Science & Analytics at Narayana Business School would
put you in the league of those large institutions which have got
multinational operations and are leaders in the data science and
business analytics sector. You get to learn multiple programming
languages, big data tools, analysis techniques which are done on very
large data. The skillset is so enhanced that your programming and big
data analysis techniques will allow an organization to make informed
and clear decisions from the organizational point of view and from the
client's point of view.
What will I learn in PGDM Data Science & Analytics?
PGDM in Data Science and Analytics program focuses on cutting edge
tools and technologies like Big Data Analytics, Machine Learning
Techniques & Application, Python / R for Future Managers, Business
Analytics, Intelligence & Forecasting, Enterprise Data Visualization,
Data Warehousing & Data Mining, Deep Learning & Reinforcement
Learning, Social Media & Social Networks Analytics, Time series &
Forecasting Techniques & Analysis, Deep Learning, Natural Language
Progressing and so on.
Mathematics
Database Knowledge
Programming
Statistics | Data Analysis
with Excel
RDBMS | Data Warehousing
| Data Mining
Python | R | SAS
Deep
Learning
Machine
Learning
Big Data
Hadoop |
Spark
ETL
ETL (Extract,
Transfer,
Load) Tools
MAP TO YOUR FUTURE
Big Visualization
Tableau | MangoDB
Hackathon
Capstone Project
How will I benefit?
The course benefits candidates from multiple streams with interests in
Mathematics, Economics, Statistics and Science. It has been tailored to
fit students coming from different academic backgrounds to fulfil
common professional objectives. The acquired skills evolve aspirants to
shape their future as Data Analyst/ Big Data Analyst, Data Scientist,
Data Manager, Business Consultant, Data Architect, Analytics
Associate, Analytics Manager, Business Intelligence and Analytics
Consultants, Risk Analyst, Data Engineer etc.
Strong demand: While many careers have been around forever, data
science and analytics is a relatively new and buzzing option offering
lucrative packages. A big reason for taking up Data Science as a career,
huge in demand. The reason for this should be clearly, considering
everything today is data, and expertise in the science of managing that
data is precisely what is required.
Rewarding Career: Career opportunities in data have exponentially
grown in the recent few years. Companies are eager to capture data and
derive insights from it because of the technological advancements we
are seeing. Accessibility of the data today can help to reap multiple
benefits organizations from it. Because of this reason, companies are
not shying away from offering increased data scientist salary in India.
Companies are throwing huge salaries at those having skills to take on
the positions of Data Analysts, Scientists, Engineers, etc.
What are the industries using Data Science & Analytics?
E-commerce, Telecom, Healthcare, Banking and finance sector,
Manufacturing, Insurance, Retail, Consulting, IT, Oil, Gas, Automobile,
Airline, Government, NGOs, Media and entertainment.
What kind of job opportunities I get after completion of
PGDM – Data Science & Analytics?
You can get the job opportunities as Business Consultant, Data
Architect, Data Analyst/ Big Data Analyst, Analytics Associate,
Analytics Manager, Analytics Consultants, Data Scientist, Data
Manager, Risk Analyst, Data Engineer, Metrics and Analytics Specialist.
Who are the possible leading recruiters of PGDM - Data Science
& Analytics?
Some of the leading recruiters are Accenture, Adani Gas, ICICI, Aptus
Data Labs, Bombardier, Capillary, Crayon data, Deloitte, Ernst and
Young, Global Analytics, IBM, Infosys, KPMG, LinkedIn, Panasonic Life
Solutions, PwC, Quantiphi, Reliance Group, Subex, TCS, Tech Mahindra,
Tiger Analytics.
What is the Intake of PGDM in Data Science & Analytics ?
The intake is 60.
What is the program pattern and medium of instruction?
Program pattern is trimester and medium of instruction is English.
What is the program fees?
The program fees is Rs. 7, 95,000/- for two years.
What is the assessment process?
Each course will have weightage of 100 marks wherein 50% will be of
Continuous Evaluation Components & 50% will be of Term End
Examination.
What is the 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.
Eligibility Criteria
To be eligible for admission, you must meet the following
requirements:
• Candidate should be a graduate from any recognized University/
Institution of National Importance and must have obtained a
minimum of 60% marks or equivalent grade at 10th, 12th and
graduation.
• Candidates appearing for the final year of the bachelor’s degree or
equivalent qualifications and are awaiting results can also apply.
• In order to pursue this course, Candidates must have pursued their
graduation in the IT/ Engineering/ statistics field.
• The candidate must have appeared for NBSAT (NBS aptitude test), a
management entrance exam devised by Narayana Business School,
which assesses the candidates Mathematical Aptitude, General
Knowledge, Verbal Ability & Abstract Reasoning.
• There is no minimum or maximum work experience required to apply
to PGDM program. However, having work experience will be an add
on advantage which brighten the chances of selection.
How to Apply
How to Apply for NBS PDGM Data Science & Analytics Program
·
If you meet these basic requirements, then you must submit an
admission application form with all transcripts till graduation. All
of these are evaluated and shortlisted candidates are called for
NBSAT Entrance Exam, Group Discussion / Extempore round
followed by Personal Interview.
·
The overall weightage of various components for admission to the
program is as given below.
NBSAT Score (out of 100, scale down to 50 marks)
Academic Performance & Prior Work Experience
Group Discussion
Personal Interview
Total
50%
20%
15%
15%
100
PROGRAM STRUCTURE
The program incorporates all the finer skill sets and conceptual details
that a graduate student should necessarily undergo for specialized
courses in data science.
Courses on Management Essentials of Economics, Accounting,
Communication, Strategy, Finance, Marketing, Human Resources and
specialized courses in Data Science and analytics are covered
comprehensively over six trimesters to make the student industryready.
The teaching pedagogy of Narayana Business School is highly
practical oriented wherein the students will have to explore, undertake
and exploit a domain exposure project, Minor course project,
HACKATHON, and flexi credit programs.
Students will undergo an internship to apply the analysis and skills
learned in the classroom to be well conversant with the practical
aspects. At the end of the course, every student will take up 12 weeks of
Capstone Project. The project will be evaluated by industry experts and
can be showcased to prospective employers as a powerful aspect of the
portfolio.
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
60
MEDIUM OF
INSTRUCTION
English
PROGRAM
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
26
450
400
850
TRIMESTER - II
26
450
400
850
TRIMESTER - III
26
450
400
850
TRIMESTER - IV
26
450
400
850
TRIMESTER - V
23
350
350
700
TRIMESTER - VI
9
150
150
300
136
2300
2100
4400
SUMMARY
TRIMESTER 1 - CORE COURSES
COURSE CODE
COURSE NAME
CREDIT CEC
TERM END
TOTAL
1PGDMDSA01
Managerial Accounting - I
3
50
50
100
1PGDMDSA02
Managerial Economic - I
3
50
50
100
1PGDMDSA03
Perspective Management
3
50
50
100
1PGDMDSA04
Statistics for Decision making - I
3
50
50
100
1PGDMDSA05
Research Methodology
3
50
50
100
1PGDMDSA06
Effective Business Communication
3
50
50
100
1PGDMDSA07
Corporate Finance
3
50
50
100
1PGDMDSA08
Data Warehousing
3
50
50
100
1PGDMDSA09
Data Analysis with Excel Tools
2
50
**
50
Total Credits
26
Total Marks
850
TERM END
TOTAL
TRIMESTER 2 - CORE COURSES
COURSE CODE
COURSE NAME
CREDIT CEC
2PGDMDSA01
Statistics for Decision Making - II
3
50
50
100
2PGDMDSA02
Marketing Principles and Applications
3
50
50
100
2PGDMDSA03
Human Resource Management
3
50
50
100
2PGDMDSA04
Data Driven Decision Making
3
50
50
100
2PGDMDSA05
Simulation through MATLAB
3
50
50
100
2PGDMDSA06
Fundamentals of R
3
50
50
100
2PGDMDSA07
Data Mining
3
50
50
100
2PGDMDSA08
RDBMS
3
50
50
100
2PGDMDSA09
Personal Competence and Capability
2
50
**
50
Total Marks
850
TERM END
TOTAL
Building - I
Total Credits
26
TRIMESTER 3 - CORE COURSES
COURSE CODE
COURSE NAME
CREDIT CEC
3PGDMDSA01
Operation Research
3
50
50
100
3PGDMDSA02
Strategic Management
3
50
50
100
3PGDMDSA03
Data Science using R
4
50
50
100
3PGDMDSA04
Data Visual Techniques
3
50
50
100
3PGDMDSA05
Mongo DB
3
50
50
100
3PGDMDSA06
Machine learning using Python
4
50
50
100
3PGDMDSA07
Minor course Project
3
50
50
100
3PGDMDSA08
Neural Network & Deep Learning
2
50
50
100
3PGDMDSA09
Personal Competence and capability
1
50
**
50
Total Marks
850
Building - II
Total Credits
26
TRIMESTER 4 - CORE COURSES
COURSE CODE
COURSE NAME
4PGDMDSA01
Corporate Interface through Summer
CREDIT CEC
TERM END
TOTAL
6
100
100
200
Internship
4PGDMDSA02
Domain Exposure Projects
6
100
100
200
4PGDMDSA03
Entrepreneurship
3
50
50
100
4PGDMDSA04
Block Chain Technology
3
50
50
100
4PGDMDSA05
NO SQL for Data Science
3
50
50
100
4PGDMDSA06
Design Thinking
3
50
50
100
4PGDMDSA07
Domain Study
2
50
**
50
Total Credits
26
Total Marks
850
TERM END
TOTAL
TRIMESTER 5 - CORE COURSES
COURSE CODE
COURSE NAME
CREDIT CEC
5PGDMDSA01
Cloud Computing
3
50
50
100
5PGDMDSA02
AI for Business
4
50
50
100
5PGDMDSA03
Big Data Technology
4
50
50
100
5PGDMDSA04
Business Ethics and Corporate
3
50
50
100
3
50
50
100
Governance
5PGDMDSA05
Data Visualisation Techniques using
Tableau
5PGDMDSA06
IOT
2
50
50
100
5PGDMDSA07
Personal Competence and Capability
2
50
50
100
HACKATHON
2
**
**
***
Total Credits
23
Total Marks
700
TERM END
TOTAL
Building - III
5PGDMDSA08
TRIMESTER 6 - CORE COURSES
COURSE CODE
COURSE NAME
CREDIT CEC
6PGDMDSA01
Capstone Project
6
100
100
200
6PGDMDSA02
Flexi Credit Course
3
50
50
100
Total Credits
9
Total Marks
300
PLACEMENTS
The recruiters love techno-savvy people as it helps them quickly
merge with important functions in the organization. This is leading
to recruiters chasing Quant profile for efficiencies, up-gradation
and smooth function of their organizations. The list of typical
recruiters is mentioned below.
LIST OF CORPORATES
FEE STRUCTURE
FEE SCHEDULE
AMOUNT (RS)
Admission Fees
85,000
1st Installment (within 15 Days from the
Date of Admission)
1,77,500
2nd Installment (on or before 15th October)
1,77,500
3rd Installment (on or before 15th March)
1,77,500
4th Installment (on or before 15th August)
1,77,500
Total Fees
7,95,000
INNOVATION
NBS always inspires the aspirants for Entrepreneurship
by igniting the ideas and encouraging the innovation for
embracement of challenging business world. NBS
provides ample amount of Networking Opportunities,
Financial Support and Industrial Mentorships for the
successful launch of the Start Up.
NBS emphasizes 360-degree development of
m a n a g e m e n t a s p i r a n t s . To d eve l o p s t r o n g
competencies, NBS focuses on Advance Simulation,
Market-Driven Value – Adde d programs to
complement the management students. Such
EXPERIENTIAL
LEARNING
programs help them to excel in Industry 4.0.
NBS proselyte management students to be highperformance leaders, who lead the team and
CORPORATE
LEADERSHIP
organization from the forefront to excellence. To build
such strategic leaders, NBS provides them rich
industrial exposure comprising of Multiple Corporate
Internship & Live Projects, Guest Sessions by Eminent
Corporate personalities and Industrial visits.
Nr. Sanathal Cross Road, Sanathal,
Ahmedabad, Gujarat - 382 210
info@nbs.edu.in
www.nbs.edu.in
+91 844 8444 981