GUJARAT UNIVERSITY

DATASCIENCE

PROSPECTUS PACKAGE 2020

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“Everything is going to be connected to cloud and data…

all of this will be mediatedby software.”

-Satya Nadella Microsoft CEO

GUJARAT UNIVERSITY

Five Years Integrated ProgramB.Sc. (3 Years) + M.Sc. (2 Years) M

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M.Sc. in Data Science

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Data Scientist is a trending job of the 21st century. Data Science is the study of the generalizable extraction of knowledge

from data. Being a data scientist requires an integrated skillset spanning mathematics, statistics, machine learning,

databases and other branches of computer science along with a good understanding of the craft of problem formulation

to engineer effective solutions. There is a huge difference in collecting raw data and using that data in a comprehensive

and structured way. The latter is harder and that is why there is a growing demand for professionals who have the

required knowledge of data assimilation along with the knowledge of tools and algorithms that will help decode

patterns. At Gujarat University, the Five Year Integrated M.Sc. in Data Science Program leading to a Masters Degree in

Data Science has been carefully designed to nurture young, enthusiastic and disciplined minds to learn and hone the

necessary skills to become a highly skilled and effective data scientist. The program draws in scholarly content in the

areas of mathematics, statistics, computers, computer programming and coding, professional skills, communications.

Students in the program will learn concepts, techniques and tools they need to deal with various facets of data science

practice. Emphasis will be placed on integration and synthesis of concepts and their application to solving problems. The

students will be applying their interdisciplinary subject knowledge and integrate them in their project and field work. We

welcome you to Gujarat University!

MESSAGE FROM THECOURSE COORDINATOR

M.Sc. INTEGRATED (DATA SCIENCE)N

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“We cannot solve our problems withthe same thinking we used when

we created them”

- Albert Einstein

The Key to the Future lies in Thinking* beyond what prevails, FUTURE

“Evolution” in some areas of lifeas a result..*O

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XM.Sc. INTEGRATED (DATA SCIENCE)

TELECOMMUNICATIONS

FUTUREPRESENTPAST

• Wired Connections• Bulky Handsets• Trunk Calls booking• STD / ISD dialing

• Mobile / Cell phones• Key pad phones• Smart phones• Black berry / I-Phone

• Foldable phones• Projectors phones• Transparent phones• Solar powered phones

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TRANSPORTATION : PERSONAL

FUTUREPRESENTPAST

• Steam engine cars• Heavy metal cars• Low power / speed• Manual handle start

• Electric Start with AC• Compact yet spacious• Diesel / Petrol / Gas• Electronic controls

• Flying cars : Air + Road• Vertical Take Off/ Landing• Solar / Electric powered• Speeds > 450 kmph

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TRANSPORTATION : PUBLIC

FUTUREPRESENTPAST

• Steam engine cars• Heavy metal cars• Low power / speed• Manual handle start

• Diesel & electric trains• Now all broad gauge• Higher speeds : 150 kmph• More comfortable

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EDUCATION METHODOLOGY

FUTUREPRESENTPAST

• Black / green boards• White & color chalks• Fixed syllabus• Mostly non-interactive

• LCD projector • Smart class• Audio Visuals• Upgrading syllabus

• Fully touch screen• Online / LMS / Internet• AR-VR based 3D • Dynamic syllabus

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CAREER TRANSITION IN DIFFERENT ERAS

COMPUTERSINDUSTRIALAGRICULTURE

• Agriculture economy• Barter transactions• Inherited profession

• Industrial economy• Currency transactions• Salaried jobs

• Digital economy• Currency + online • Start of automations

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UPCOMING CAREERS IN THE NEW AGEIN

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UPCOMING “REVOLUTION”

• Industry 4.0 & Internet Of Things (IoT)• Big Data Analytics• Robotics, Drones, Blockchain• Virtual Reality & Augmented Reality• RFID chip based human tagging• Genetic Engineering / Digital Genome• Neuromorphic technology• Nano robots based micro surgery• Quantum Computing• Collaborative Telepresence• E-Commerce & M-Commerce• 3D Printing & Additive Manufacturing• Recycling technology for environment• Solar & alternate energy management• Artificial Intelligence & Machine Learning• 4K based Global Positioning Systems• Cloud and virtual storage systemsF

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5 GLOBAL FACTORS : NEW AGE CAREERS *

PopulationGrowth

UrbanizationClimate Change

Big DataInternet Traffic

Crypto Currency

Global Uncertainty

FinancialRisks

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O EMERGINGDE-FACTO CAREERS* DATA SCIENCE

* ACTUARIAL SCIENCE

* ARTIFICIAL INTELLIGENCE

& MACHINE LEARNING

WHAT IS DATA ?D

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A“Data are facts, observations or experiences on which an argument, theory of test is based. Data may be numerical, descriptive or visual.

Data may be raw or analyzed, experimental or observational”

http://research.unimelb.edu.ac/integrity/conduct/data/review

Source

Primary and/orSecondary

Content

Quantitative and/orQualitative

Forms

DatasetsStill imagesAudioVideoAudio recordingInteractive sources

Variations

RawCleanedAnonymisedPseudomisedAnalysed

Formats

MSExcelTIFFMPEG2STATAFoxPro

STRUCTURED VS UNSTRUCTURED DATAD

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Based on https://lawtomated.com/structured-data-vs-unstructured-data-what-are-they-and-why-care/

STRUCTURED DATA UNSTRUCTURED DATA

Can be displayed in rows, columns and relational database

Cannot be displayed in rows, columns and relational database

Numbers, dates and strings Images, audio, video, word processing files, e-mails, spreadsheets

Estimated 20% of enterprise data (Gartner)

Estimated 80% of enterprise data (Gartner)

Requires less storage Requires more storage

Easier to manage and protect with legacy solutions

More difficult to manage and protect with legacy solutions

HOW BIG IS THE BIG DATA ?B

IG D

ATA

EVERY 60 SECONDS

TWEETS = 98,000+

STATUS UPDATES = 6,95,000

INSTANT MESSAGES = 11 Million

GOOGLE SEARCHES = 6,98,445

EMAILS SENT = 168 Million+

DATA CREATED = 1,820TB

NEW MOBILE WEB USERS = 217

MainFrame ClientServer

The Internet

Mobile,Social MediaBig Data,The Cloud

Source : HP

TO WHAT SIZE IT IS HEADINGB

IG D

ATA

1 Byte = 8 bits1 Byte = One Character

1 KB = 103 Byte1 KB = One small story

1 MB = 106 Byte1 MB = One small book

1 GB = 109 Byte1 GB = One Library

1 TeraB = 1012 Byte10 TB = One City Library

1 PetaB = 1015 Byte10 PB = One Country Library

1 ExaB = 1018 Byte5 EB = All of words spoken by one person

1 ZettaB = 1021 Byte1 ZB = Global Internet Traffic in 2016

1 YottaB = 1024 Byte

1 XenottaB = 1027 Byte

1 ShilentnoB = 1030 Byte

1 DomengemegrotteB = 1033 Byte

The Big Data

We are here inPersonal data usage

WHAT IS DATA SCIENCE ?D

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https://www.datasciencecentral.com/profiles/blogs/data-science-summarized-in-one-picture

Understanding Patterns

Simulations & Optimization

Systems

UnderstandingSocial ContextAnd meaning

Forecasting andProbabilities

BusinessIntelligence

BIG DATAText, analytics

Network analyticsGeospatial analytics

Social media analyticsSentimental analysis

images

DataVisualization

Identifying factorsAnd causes

DATA QUALITY

DESCRIPTIVE

DIAGNOSTIC

PREDICTIVE

SEMANTIC

BUSINESS VALUE

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Transactional Strategic

BusinessAccumen

Programmer StatisticianBusiness Analyst Business Analyst

Programmer

DATA SCIENTIST

IT IS MULTI-DISCIPLINARYD

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DATASCIENCE

Visualization

Statistical Modeling

Statistical Computing

DataTechnology

DataResearch

Data Consulting

Real WorldApplications

ScientificMethods

DomainKnowledge

BusinessStrategy

Communication

Presentation

InquisitivenessProblemSolving

BusinessAnalysis

Creativity

ITS LIFE CYCLED

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ITS COMPONENTSD

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E Domain Knowledge,Business Acumen, ExperienceValue to Business

Hacking Skills,Data engineering and Wrangling, Coding.

Algorithms & NumericalTechniques to derive insights

DATA ROLES AND SKILL SETSD

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MAJOR APPLICATIONSD

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APPLICATIONS OF DATA SCIENCEIL

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ION IN FINANCE IN BANKING IN HEALTH CARE

Risk Analytics Risk Modeling Secured & Shared Medical Records

Real-Time Analytics Fraud Detection Optimized & Integrated Care

Consumer Analytics Customer Lifetime Value Improved Monitoring

Consumer Data Management Customer Segmentation Automated Lab-work and Standardized Image Recognition

Personalized services Recommendation engines Drug interaction detection

Fraud Detection Real-time Predictive Analytics Personalized medicine

Algorithmic Trading Communication assistance

INDUSTRY WISE DEMANDD

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PROCESS OF DATA SCIENCEP

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https://slidemodel.com/templates/data-science-shapes-powerpoint-template/data-science-schematic-process-for-powerpoint/

BUSINESS

APPLICATION

GETDATA

EXPLOREDATA

MODELDATA

VISUALIZERESULTS

STIMULATE

RESULTS

USERESULTS

INBUSINESS

WHO IS A DATA SCIENTIST ?D

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A data scientist is someone who asks unique, interesting questions ofdata based on formal or informal theory, to generate rigorous and usefulinsights. It is likely to be an individual with multi-disciplinary training incomputer science, business, economics, mathematics, statistics, andarmed with the necessary quantity of domain knowledge relevant to thequestion at hand. The potential of the field is enormous, for just a fewwell-trained data scientists armed with big data have the potential totransform organizations and societies. In the narrower domain ofbusiness life, the role of the data scientist is to generate applicablebusiness intelligence.

ROLE OF DATA SCIENTISTD

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• Enterprise Data Management (EDW)• Comprehensive warehousing• Data quality & abundance

• Risk Analytics• Predictive Modelling• Loss Distributions

• Reporting• Real-time visualizations• Dashboards• Regulatory requirements

https://chelseatroy.com/2019/03/14/applied-data-science-case-study-part-3-exploratory-analysis/

WHAT DATA SCIENTISTS SPEND THE MOST TIME DOING

TRAITS OF DATA SCIENTISTD

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Contextualized visionOf the organization

Proven application of analytic techniques to

business problem

Appetite for what matters relative to business priorities

Been around the block and has connections

Unique perspective of individual business

area

Able to go to bat to justify the business

value

Involved hands-on in multiple analytic areas

and activities

https://blogs.gartner.com/carlie-idoine/2018/05/13/citizen-data-scientists-and-why-they-matter/ (Source)

MODERN DATA SCIENTISTD

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IST MATHS & STATISTICS

• Machine learning• Statistical modeling• Experiment design• Bayesian inference• Supervised learning : decision trees, random forests, logistic

regression• Unsupervised learning : clustering, dimensionality reduction• Optimization : gradient descent and variants

DOMAIN KNOWLEDGE & SOFT SKILLS

• Passionate about the business• Curious about the data• Influence without authority• Hacker mindset• Problem Solver• Strategic, proactive, creative, innovative and collaborative

COMMUNICATION & VISUALIZATION

• Able to engage with senior management• Story telling skills• Translate data driven insights into decisions and actions• Visual art design• R packages like ggplot or lattice• Knowledge of any of visualization tools eg. Flare, D3.js, Tabeau

PROGRAMMING & DATABASE

• Computer science fundamentals• Scripting Language e.g. Python• Statistical computing package e.g. R• Database SQL and NoSQL• Relational algebra• Parallel databases and parallel query processing• MapReduce concepts• Hadoop and Hive/Pig• Custom Reducers and experience with xaaS like AWS

DATASCIENTIST

CAREER OPTIONS FOR DATA SCIENTISTD

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ROLE OF DATA SCIENTISTD

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MODERN DATA SCIENTISTC

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Executive- CRM Reports- MIS- DQA- MBA Fresher- BBA

Analyst- Data mugging- Product tech support- Sales lead & CRM- Data visualization- Advance Statistics- MDM Corrections

Business Analyst- Product / Project

SDLC- Data Engineer- Programming logic

& Solutions- Business Process- Vendor Coordination- MDM & Logic

Data Architect- Data warehousing- Data Architecture

level.- Data Modeling- ETL working- Data cleaning- Elastic working

and functionalities

Chief Data officerData Scientist- Data advance

algorithms- Advance predictive

algorithms- Big data processing- NoSQL- Introduce new

technologies- ETL Logic

DATA SCIENTISTS – THE SOLVERSD

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“The world is oneBig data problem”

-Andrew McAfeeCo-director of MIT Initiative

of The Digital Economy

DATA SCIENTIST VS DATA ANALYSTD

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Background

Scope

Types of Data

Skills

Tools

A Data scientist deals with variousData operations

Involved with several underlyingData procedures

Handles structured & unstructureddata

Possess knowledge of mathematicsStatistics & machine learning algorithm

Proficient in SAS, Python, R, TensorFlow, Hadoop, Spark

A Data Analyst’s role is related to dataCleaning, transforming & generating

Inferences from data

Involvement is limited to small dataAnd static inferences

Deals with structured data only

Has problem solving skills, Knowledge of basic statistics

Knows Excel, SQL, R ( in some cases), Tableau

https://data-flair.training/blogs/data-scientist-vs-data-analyst/

FEATURES DATA SCIENTIST DATA ANALYST

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TDATA SCIENTIST VS STATISTICIAN

DATA SCIENTIST STATISTICIAN

Meaning Analyze and interpret complex digitaldata in order to assist decision-makingin businesses.

An expert in the preparation and analysisof statistical data.

Task Interpret and manage data & solvecomplex problems using expertise in avariety of data niches.

Analyze data with specific statisticalsoftware and developing theory ofstatistics.

Connected with Mathematical Sciences, ComputerScience, Modelling Statistics andanalytics

Statistical data in various field likeEconomics, Biology, Public Health, Sports,Medicines, and etc.

Responsibilities To provide new insights into thebusiness and create solutions thatenable enhanced business performance.

Develop and initiate innovative statisticaltechniques, issues and protocols.

Designation Data Scientist, Data Engineer, DataAnalyst, Data Architect, etc.

Statistician, Data Analyst, etc.

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TREMUNERATION (INTERNATIONAL)

https://www.google.com/url?sa=i&url=https://www.shutterstock.com/g/afshinchabbi&psig=AOvVaw2F0JqTYTDRe1ZJcw8iDZKa&ust=1589295351661000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCMDz9N6IrOkCFQAAAAAdAAAAABAThttps://www.google.com/url?sa=i&url=https://www.shutterstock.com/g/afshinchabbi&psig=AOvVaw2F0JqTYTDRe1ZJcw8iDZKa&ust=1589295351661000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCMDz9N6IrOkCFQAAAAAdAAAAABAT

TOP RECRUITERS FOR DATA SCIENTISTS

E-Commerce ventures

IT Companies

Analytics Companies

Government & PSUs

Healthcare

Banking

Finance

Insurance

Retail

TelecomS E

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MATCHING “ATMANIRMBHAR BHARAT” VISIOND

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E Foundation for$5 Trillion economy With a major quantum thrust to the economy

with focus on . . .

• Infrastructure

• Demography

• Demand & Supply

• Systems (Technology & Automation)

The NEED for Data Scientist will escalate high

Data Science @ Gujarat University is aimed to fulfill its role to meet this Need.

DATA SCIENCE @ GUJARAT UNIVERSITY

• M.Sc. Data Science Program aims to impart training to enrolled students with regardto existing and evolving techniques and theories related to data analytics,information retrieval, big data analysis, data mining, data warehousing and datavisualization, data security etc.

• Classroom training here will help the sincere and motivated students to becomeindustry ready

• Fees : Rs.37,600 per semester. Number of Seats : 60 Only.

• Duration : Integrated 5 Years (10 semesters) = B.Sc. (3 Years) + M.Sc. (2 Years). Thereis an option to exit after B.Sc. degree.

5 –

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(The First and only one in India to offer 5 Years Integration)

ELIGIBILITY FOR DATA SCIENCE

Eligibility

Students with Min. 10 + 2 in formal education in…

Science Group A : Physics + Chemistry + Mathematics

Science Group B : Physics + Chemistry + Biology

Science Group AB : Physics + Chemistry + Maths + Biology

Commerce

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GIB

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DATA SCIENCE @ GUJARAT UNIVERSITY

REQUIREMENTS TO COMPLETE M.Sc

Students have to undergo a total of 150 credit courses and

pass the necessary university examinations to earn a B.Sc.

Degree and a total of 100 credit courses and examinations

to earn a M.Sc. Degree. Total Credits for the

M.Sc. [ Integrated (B.Sc. + M.Sc.) = 150 + 100 = 250 credits]

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DATA SCIENCE @ GUJARAT UNIVERSITYC

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Specialized Subject

62

Projects32

Personality Development and Communications

Computer, Programming,

Softwares 82

Mathematical Sciences

67

TOTAL 250CREDITS

16

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(TE

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)Total (250)

Mathematical Sciences (67)

Calculus, Discrete Math, Matrix Algebra, Vector

Calculus, Linear Algebra, Differential Equation, Graph

Theory, Modelling and Simulation

Probability, Distribution Theory, Data Analysis,

Inference, Regression Theory, Time Series and Forecasting

Computer, Programming, Software (82)

Fundamentals of Computer and Basics of Programming

C++, JAVA, Python (Basics & Advance), Introduction to

Machine Learning

DBMS, SQL/PLSQL, NO SQL, R Language, SPSS

Hadoop, Tableau, Spark, Tensor Flow

Specialized Subjects (62)

Industry Focused Courses, Computer Organization &

Architecture, Physics, Pattern Recognition

Data Mining, Data Visualization, Data Structures, DBMS, Big Data

Algorithms, Neural Network, Decision Trees, Machine Learning

Cloud Computing, Information Science, Google Analytics

Project and Personality Development (48)

Project Credits (32)

Personal and Personality

Development, Entrepreneurship

Soft Skills and Communication

Mathematical Sciences (67)

•Calculus, Discrete Math, Matrix Algebra, Vector Calculus, Linear Algebra, Differential Equation, Graph Theory, Modelling and Simulation

•Probability, Distribution Theory, Data Analysis, Inference, Regression Theory, Time Series and Forecasting

Specialized Subjects (62)

• Industry Focused Courses, Computer Organization & Architecture, Physics, Pattern Recognition

•Data Mining, Data Visualization, Data Structures, DBMS, Big Data

•Algorithms, Neural Network, Decision Trees, Machine Learning

•Cloud Computing, Information Science, Google Analytics

Computer, Programming, Software (82)

•Fundamentals of Computer and Basics of Programming

•C++, JAVA, Python (Basics & Advance), Introduction to Machine Learning

•DBMS, SQL/PLSQL, NO SQL, R Language, SPSS

•Hadoop, Tableau, Spark, Tensor Flow

Project and Personality Development (48)

•Project credits (32)

•Personal and Personality Development, Entrepreneurship

•Soft skills and communication and Communication Skills

DATA SCIENCE @ GUJARAT UNIVERSITYS

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DATA SCIENCES

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K Priyanshu Lodha

It's very appreciative of Gujarat University to bethe first Government University in India to offersuch a Top-Notch integrated postgraduatecourse in Data Science.

It is commendable how they took in studentsfrom Science as well as Commerce and helpedus in building sound fundamentals inmathematics and statistics which are the babysteps towards making a bright career in theemerging field of Data Science.

Prableen Kaur Sandhu

Heading from the biology background, I never thoughtof stepping onto a technical field. Fortunately, I foundout about the integrated course in Data Scienceoffered by Gujarat University. Constant learning is thekey to success and this constant learning becomeeasier with the help of our faculties who were alwaysthere to guide us.

Central University library and department libraryprovided a comfortable place to stay back and studyfor students like us, which is the best thing to haveduring exams.

DATA SCIENCE

Rudra K Joshi

For sure, Data Science is the Skill-set of theFuture, and that's exactly what this IntegratedMaster's in Data Science is designed for. Oneyear into it, I have realized that GujaratUniversity will be at the forefront of leading inTransformative Education. The reason is that itbridges the gap between Curriculum OrientedTeaching and Professional Knowledge. The bestpart is the focus on Innovation and end to endAssistance, which makes it the top choice forEnthusiastic Learners.

Radhika Parmar

I am indeed very honored to get an admission in thiscourse as a student of its first batch. The learning hereprovides both theoretical concept clarity andapplication-oriented methodology which has helpedme in understanding the concepts better.

Our college has been built with a very goodinfrastructure including ICT classrooms and libraries.

We are glad that we have intellectual, experienced,and supportive faculties and administrative staff.S

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DATA SCIENCE

Shashva Machchhar

I as a commerce student never thought to be insuch a field as Data Science yet got a greatopportunity to get into the course Offered byGujarat University

I am a beginner in DS, but the instructors in thiscourse simplified the contents that made meeasily understand basics of mathematics,statistics and programming.

There’s never been a better time to be a datascientist.

Shruti Agrawal

Data Science is a promising and an eye catchingcareer in today's modern age as it grants anopportunity to work in numerous domains

Saying about my experience in studying and learningin this field, Gujarat University has always been agreat supporting pillar.

Though this career demands hard work andcommitment, I thoroughly enjoy it!

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THE CROWNING GLORY : GUJARAT UNIVERSITYS

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9 Gujarat University"योगः कर्मसु कौशलर््“

(NAAC Accredited B++)

THE CROWNING GLORY : GUJARAT UNIVERSITY

The oldest and biggest government university

Campus in the city, with serene green natural surroundings

Affiliated colleges across the state

recognized institutes and 24 approved institutes

Post graduate university department and 221 PG centers

Students on the campus

Students across all affiliated colleges under the university

260Acres

22

36

5000

2 Lac

286

71

Years

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THE CROWNING GLORY : GUJARAT UNIVERSITYG

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GUSEC

Gujarat University Startup and Entrepreneurship Council (GUSEC) is a non-profit and autonomous unit of Gujarat University support student ideas, innovations, businesses, ventures and startups. GUSEC helps University students in various ways, including :

• Early-stage funding support for prototype development & govt. grants• Mentorship and guidance support• Various online tools, resources and services such as Cloud service credits• All-day co-working space in Gujarat University campus• Access to University labs and resources• Support and guidance for filing patents

Students may get in touch with GUSEC at contact@gusec.edu.in or get more information at gusec.edu.in.

mailto:contact@gusec.edu.inhttp://gusec.edu.in/

THE CROWNING GLORY : GUJARAT UNIVERSITYP

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R Research ParkGujarat University Park for Industrial Extension & Research (PIER) is the first Research and Innovation

Park in the country, giving opportunities for students of Gujarat University inclined towards research and

innovation get industry exposure, from the Research Park’s industry partners, right from within the

campus. The Research Park is set up in a sprawling physical infrastructure spreading 4,50,000 sq. ft. out

of which 1,40,000 sq. ft. is already being operationalized. For more information on the Research Park, visit

www.pier.edu.in.

http://www.pier.edu.in/

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”Without big data analytics, Companies areblind and deaf, wandering out onto the web

like deer on a free way”

Geoffrey MooreAmerican Management Consultant and Author

FOR ADMISSIONS

Contact :

Data Sciences

Five Year Integrated Programs

School of Science, Gujarat University

Navrangpura, Ahmedabad (Gujarat) -380009

Mobile : +91 93132 90262 / +91 88662 12714

Enquiry Timings : 11.30 am to 5.30 pm

Email : intdatascmsc@gujaratuniversity.ac.inC O

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Send your

enquiry via online

google form on

http://bit.ly/gu-msc

© Copyright

@ Gujarat University