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GUJARAT UNIVERSITY
DATASCIENCE
PROSPECTUS PACKAGE 2020
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DATA SCIENCE T
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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
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GUJARAT UNIVERSITY
Five Years Integrated ProgramB.Sc. (3 Years) + M.Sc. (2 Years) M
.Sc.
INTE
GR
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D
M.Sc. in Data Science
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M E
S S
A G
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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
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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
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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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OF
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XM.Sc. INTEGRATED (DATA SCIENCE)
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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
EV
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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
EV
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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
EV
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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
EV
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UPCOMING CAREERS IN THE NEW AGEIN
FOR
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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
UT
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5 GLOBAL FACTORS : NEW AGE CAREERS *
PopulationGrowth
UrbanizationClimate Change
Big DataInternet Traffic
Crypto Currency
Global Uncertainty
FinancialRisks
DE
-FA
CT
O EMERGINGDE-FACTO CAREERS* DATA SCIENCE
* ACTUARIAL SCIENCE
* ARTIFICIAL INTELLIGENCE
& MACHINE LEARNING
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WHAT IS DATA ?D
A T
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
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STRUCTURED VS UNSTRUCTURED DATAD
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A
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
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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
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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
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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
AN
ALY
STIC
S M
ATU
RIT
YA
dva
nce
dA
spir
atio
nal
Transactional Strategic
BusinessAccumen
Programmer StatisticianBusiness Analyst Business Analyst
Programmer
DATA SCIENTIST
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IT IS MULTI-DISCIPLINARYD
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CIE
NC
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DATASCIENCE
Visualization
Statistical Modeling
Statistical Computing
DataTechnology
DataResearch
Data Consulting
Real WorldApplications
ScientificMethods
DomainKnowledge
BusinessStrategy
Communication
Presentation
InquisitivenessProblemSolving
BusinessAnalysis
Creativity
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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
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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
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INDUSTRY WISE DEMANDD
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PROCESS OF DATA SCIENCEP
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S S
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
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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.
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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
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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)
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MODERN DATA SCIENTISTD
AT
A S
CIE
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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
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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
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DATA SCIENTISTS – THE SOLVERSD
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“The world is oneBig data problem”
-Andrew McAfeeCo-director of MIT Initiative
of The Digital Economy
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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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DA
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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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DA
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SC
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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
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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.
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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 –
Y E
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(The First and only one in India to offer 5 Years Integration)
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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
ELI
GIB
ILIT
Y
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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]
CO
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CR
ED
ITS
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DATA SCIENCE @ GUJARAT UNIVERSITYC
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ULU
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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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DATA SCIENCE @ GUJARAT UNIVERSITYC
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(TE
NT
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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
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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 SCIENCE @ GUJARAT UNIVERSITYC
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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.
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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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YOGA @ DATA SCIENCEG
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INFRASTRUCTURE @ DATA SCIENCEG
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THE CROWNING GLORY : GUJARAT UNIVERSITYS
I N
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–1
9 4
9 Gujarat University"योगः कर्मसु कौशलर््“
(NAAC Accredited B++)
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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
S I
N C
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1 9
4 9
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THE CROWNING GLORY : GUJARAT UNIVERSITYG
U S
E C
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 [email protected] or get more information at gusec.edu.in.
mailto:[email protected]://gusec.edu.in/
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THE CROWNING GLORY : GUJARAT UNIVERSITYP
I E
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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DATA SCIENCET
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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
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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 : [email protected] O
N T
A C
T
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Send your
enquiry via online
google form on
http://bit.ly/gu-msc
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@ Gujarat University