University established through Act no. 47 of 2013 in Karnataka State and is approved by UGC, Govt. of India
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B.SC. DATA SCIENCE

Overview

B.Sc. Data Science

PROGRAMME ACCREDITATION

This Programme is approved by University Grants Commission.

Bachelor of Science (Data Science) is a 3-year course will be designed to prepare graduates who can conduct data-driven investigations, and conduct visual and advanced analytics by acquiring and managing data of all types. Through this course, graduates will develop an in-depth understanding of data science and the techniques for analyzing quantitative and qualitative data to arrive at solutions. Graduates will be able to identify patterns, predict trends, and analyze data from various sectors such as manufacturing, banking and finance, retail, and healthcare. The academic track of the program will be made of a blend of core and advanced specialist subjects. Our curriculum will be built on the principle that topics get more and more specialized as students’ progress through the program.

Course Highlights

Mathematics and Computational methods are the foundation science courses. B.Sc in Data Science programme will help you master skills and tools like Clustering, Decision trees, R Programming, Python, Big Data and Data Visualization tools, Data modelling, Statistical functions, Machine Learning algorithms that use predictive analytics to solve real-time decision making problems. Final year internship and project work is designed to involve real time applications from industry platforms and research problems from research projects to aid problem solving, data modelling and data analysis


Programme Prospects

The main objective of this programme is to impart knowledge, understanding and cognitive abilities in data analytics, research, practice and interdisciplinary courses. The programme further focuses on development of competencies and practical skills required for effective problem solving and right decision making in different activities relevant to social groups, individuals, institutions and research. The programme also embeds courses to train students on personal development and interactive skills with a feel for society

Course Structure

Semester I

  • Problem Solving Techniques using C
  • Digital Computer Fundamentals
  • Discrete Mathematics

  • Ability Enhancement Courses
  • Environmental Studies

  • Skill Enhancement Course
  • Communicative English
  • Information & Communication Technology

Semester II

  • Introduction to Data Science
  • Relational Database Management System
  • Data Communications and Computer Networks
  • Applied Statistics

  • Ability Enhancement Courses
  • MIL English
  • MIL Kannada
  • MIL Hindi

  • Skill Enhancement Course
  • Speaking Kannada

Semester III

  • Data Structures
  • Data Warehousing and Data Mining
  • Probability and Distribution Theory
  • Artificial Intelligence

  • Skill Enhancement Course
  • Software Engineering
  • Research Methodology

Semester IV

  • Python Programming for Data Science
  • Regression Modelling and Statistical Inference
  • Web Technology and Rich Internet Applications

  • Skill Enhancement Course
  • Operating System
  • Minor Project

  • Generic Electives
  • Multimedia and Animation

Semester V

  • Big Data Analytics
  • Machine Learningusing R

  • Skill Enhancement Course
  • Design Thinking

Semester VI

  • Internship
Specialization Courses
Stream I Internet of Things Stream II Data Science
DSE 1 A: Data Visualization Techniques DSE 2 A: Business Intelligence
DSE 1 B: Time Series and Forecasting DSE 2 B: Multivariate Analysis

Career Prospects

NASSCOM in its survey on the Future Skills says that the total demand for Artificial Intelligence, Big Data /Analytics and Data Science by 2021 is 800,000 and the right talent employable by 2021 is 570,000 creating a shortage of talent pool of 230,000. It also mentions that 1 million professionals are to be reskilled and 1 million potential employees and students to be skilled in the new emerging technologies. Upon completion of the programme, Graduates could take roles such as:

  • Data Scientist
  • Process Analyst for Process Industries
  • Data Solutions Analyst
  • Technical Business Process Analyst
  • Business Analytics Tech Consultant
  • Statistical Analyst
  • Web & Social Media Analyst
  • CRM Analyst
  • Further study (Computer Science Masters courses, PhD research)


Fee structure for the Academic year 2021-22

DOMESTIC FEE STRUCTURE
Programmes Course Duration 1st Instalment 5 Subsequent Instalments
BSDS 3 years 25000 60000

INTERNATIONAL / NRI FEE STRUCTURE
1st Instalment 5 Subsequent Instalments
$ 500 $ 900
HOSTEL CHARGES - 2020
CAMPUS A & B
(Girls)
VENUS A
(Girls)
VENUS B
(Girls)
RAINBOW
(Boys)
GALAXY
(Boys)
DOUBLE SHARING 95000 110000 120000 95000 95000
SINGLE SHARING 135000 155000 165000 135000 135000
SINGLE WITH AC & REFRIDGERATOR - 180000 190000 - 180000

For further information mail to admissions@gardencity.university


Read more Apply now

Application status : Open

Duration : Three years

Study mode : Full-time

Entry Requirements : 10+2 with with minimum 50% and Mathematics as one of the optional subject

Fee structure 2021

DOMESTIC FEE STRUCTURE
1st Instalment 5 Subsequent Instalments
25000 60000
INTERNATIONAL / NRI FEE STRUCTURE
1st Instalment 5 Subsequent Instalments
$ 500 $ 900

Click here to see the Accommodation Charges

Entry Requirements

10+2 with with minimum 50% and Mathematics as one of the optional subject

About Admissions

"Our graduates believe in Professionally Doing and Scientifically Knowing." Garden City University established under sub section (3) of Section 1 of Garden City University Act, 2013 (Karnataka Act No. 47 of 2013).


The admissions desk here at Garden City University, maintains a pragmatic approach towards prospective students. Our focus is not on quantity of students rather; it’s their willingness to align themselves with our values and belief systems, while maintaining very clear-cut academic standards. The process of applying to the best programmes offered at GCU, is facilitated in an organized and effortless manner by our admissions team, who are always willing to assist you with your queries.


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