BACHELOR OF SCIENCE : B.Sc.(Data Science)

degree
Data Science refers to extraction of knowledge from large volumes of data that are structuredor unstructured, which is continuation of data mining and predictive analytics. It involves different categories of analytical approaches for modelling various types of business scenarios and arriving at solution and strategies for optimal decision-making in marketing, finance,operations, organizational behaviour and other managerial aspects. This new field of studybreaks down into a number of different areas, from constructing big data infrastructure andconfiguring the various server tools that sit on top of the hardware, to performing the analysis and developing the right transformations to generate usefulresults. Data Science is an interdisciplinary field that combines the magic of programming, mathematics and business. Combined with Machine Learning, it helps to identify a future trend which can be used to derive actionable insights for creating future impact. These skills will help for the role of a Data Scientist. As a Data Science aspirant, learner will be emphasising of the knowledge to share from the quantitative analysis to programming concept and extended to business intelligence. Data science can add value to any business which can use the datawell.


Eligibility & admission criteria:

Ordinance:6606 : Eligibility : 10 + 2 candidates with Mathematics OR Statistics at H.S.C. level.
OR
Any Students who have completed HSC (10 + 2) without Mathematics Or Statistics will have to undergo a Bridge Course of 30 hours on Mathematics Or Statistics

The college has been allotted 60 seats (Intake capacity) for the B.Sc. (Data Science) course.

Admission Procedure:

The seats available in our college will be filled on the basis of merit. The reservations of seats shall be as per the state government / university rules. For further information the aspiring students are requested to contact the college office.

B. Sc. (Data Science) Syllabus
F. Y. B. Sc. (Data Sceince) Semester – I
Paper – I : DescriptiveStatistics
Paper – II : DescriptiveStatisticsPractical
Paper – III : IntroductiontoProgramming
Paper – IV : IntroductiontoProgrammingPractical
Paper – V : WebTechnology
Paper – VI : Web Technology Practical
Paper – VII : Business Communication and Information Ethics
Paper – VIII : ICTPractical
Paper – IX : Precalculus
Paper – X : PrecalculusTutorials
F. Y. B. Sc. (Data Science) Semester – II
Paper – I : Probability and Distributions
Paper – II : Probability and Distributions Practical
Paper – III : Database Management
Paper – IV : Database Management Practical
Paper – V : R-Programming
Paper – VI : R-Programming Practical
Paper – VII : Environmental Science
Paper – VIII : Project Presentation on Data Science in Environmental Science
Paper – IX : Calculus
Paper – X : Calculus Tutorials
S. Y. B. Sc. (Data Science) Semester – III
Paper – I : Testing of Hypothesis
Paper – II : SPSS Practical
Paper – III : Data Structures
Paper – IV : Data Structures Practical
Paper – V : Microeconomics / Principles of Management
Paper – VI : Case Studies on Microeconomics
Paper – VII : Data Warehousing
Paper – VIII : Data Warehousing Practical
Paper – IX : Linear Algebra and DiscreteMathematics
Paper – X : Tutorials on Linear Algebra and Discrete Mathematics
S. Y. B. Sc. (Data Science) Semester – IV
Paper – I : Optimization Techniques
Paper – II : Optimization Techniques Practical
Paper – III : Big Data
Paper – IV : Big Data Practical
Paper – V : E-Commerce and Business Ethics / Fundamentals of Accounting
Paper – VI : MATLAB Practical
Paper – VII : Algorithms in Data Science
Paper – VIII : Algorithms in Data Science Practical
Paper – IX: Numerical Methods
Paper – X : Numerical Methods Practical
T. Y. B. Sc. (Data Science) Semester – V
Paper – I : Artificial Intelligence
Paper – II : Artificial Intelligence Practical
Paper – III : Business Research Methods
Paper – IV : Business Research Methods Practical
Paper – V : Data Mining
Paper – VI : Data Mining Practical
Paper – VII : Campus to Corporate
Paper – VII : Project Dissertation
Elective-I (Select Any One)
Paper – I : Reinforcement Learning
Paper – II : Marketing and Retail Analytics
Paper – III : Supply Chain and Logistics Analytics
Paper – IV : Robotic Process Automation
Elective-II (Compulsory Practical)
Paper – IV : Data Visualisation with PowerBI/Tableau
T. Y. B. Sc. (Data Science) Semester – VI
Paper – I : Machine Learning
Paper – II : Machine Learning Practical
Paper – III : Cloud Computing
Paper – IV : Cloud Computing Practical
Paper – V : Internet of Things
Paper – VI : Internet of Things Practical
Paper – VII : Business Forecasting
Paper – VII : Business Forecasting Practical
Elective-II (Select Any One)
Paper – I : Financial Analytics
Paper – II : Social Media Analytics
Paper – III : Knowledge Management
Paper – IV : Data Security and Compliance
Elective-III (Compulsory)
Paper – IV : Project Implementation

Click Here to Download Syllabus 6.61-Data-Science-Cir-Syllabus

FEES CHART DEGREE COLLEGE
Particulars F.Y.B.CS S.Y.B.CS T.Y.B.CS
Tuition fees I & II Term 8000.00 10000.00 12000.00
Library fees I & II Term 300.00 500.00 500.00
Gymkhana fees 200.00 200.00 200.00
Other fees/Extra C. Activity 250.00 250.00 250.00
Exam fees 1300.00 1300.00 1000.00
Enrolment fees 220.00
Marksheet 50.00 50.00 50.00
Industrial Visit fees 1000.00 1000.00 1000.00
Admi Processing 200.00 200.00 200.00
Document Verification fees***
Utility fees 100.00 100.00 100.00
Magazine fees 100.00 100.00 100.00
Identity Card & Library Fees 50.00 50.00 50.00
Group Insurance 40.00 40.00 40.00
Student Welfare Fund 50.00 50.00 50.00
Development Fund 500.00 500.00 500.00
Vice Chancellor’s Fund 20.00 20.00 20.00
University Sport Culture Act. 30.00 30.00 30.00
University Disaster Fund 10.00 10.00 10.00
E. Charges 20.00 20.00 20.00
Project Fees 500.00
Computer Practicals 1000.00 1000.00 1000.00
Laboratory fees 3000.00 3000.00 3000.00
Caution Money 150.00
Library Deposit 250.00
Laboratory Deposit 400.00 400.00 400.00
E-Facility fee 50.00 50.00 50.00
Alumni Association fees 25.00 25.00 25.00
PTA 100.00 100.00 100.00
Total 17,565.00 19,145.00 21,345.00

1): If University of Mumbai revised the above fee, the student has to pay the difference of fee.
2):For T.Y. class university examination fees are to be paid separately, as per the university rule & amount from time to time.
3):Document Verification fee*** of Rs. 400/- are to be paid separately, those students who are not from Maharashtra board.
4):* Does not include the charges for printouts.