BSc (Hons) Data Science

Department
Design
Campus
Kirulapona
Level
Degree
Method
Full Time
Duration
3 Years
Commencement
16th Sep 2019
  • Data Science is a blend of data wrangling, data visualization, machine learning, mathematical and statistical methods with the goal to discover hidden patterns from the raw data.

  • To arm the students with the knowledge to extract meaningful patterns, trends, and relationships from large datasets.

  • To enable the students to make useful, logical, mathematically sound predictions with high accuracy using data.

  • To provide the student the ability to apply the techniques of data science in the business world to make accurate predictions, maximize revenue, minimize costs and optimize workflows.

Entry requirements

Advanced Level (Local/International) qualification with three simple passes (i.e. 3 S passes) from the Science stream (Maths or Bio) or the Technology stream.

Course structure and modules

1st YEAR – ADVANCED DIPLOMA IN DATA SCIENCE
INTRODUCTION TO PROGRAMMING IN PYTHON AND R
CALCULUS FOR DATA SCIENCE
LINEAR ALGEBRA FOR DATA SCIENCE
STATISTICS 1 FOR DATA SCIENCE AND BUSINESS ANALYTICS
PRINCIPLES OF ECONOMICS – MICROECONOMICS FOR DATA SCIENCE
INTRODUCTION TO BUSINESS MANAGEMENT
INTRODUCTION TO FINANCE
MARKETING MANAGEMENT
STATISTICS 2 FOR DATA SCIENCE AND BUSINESS ANALYTICS
SQL DATABASES FOR DATA SCIENCE AND BUSINESS ANALYTICS
USE OF NOSQL DATABASES FOR DATA SCIENCE
ENGLISH FOR ACADEMIC PURPOSES
DATA SCIENCE PROJECT 1


2nd YEAR – HIGHER NATIONAL DIPLOMA IN DATA SCIENCE
DATA VISUALIZATION USING D3.JS
DATA VISUALIZATION AND INTERACTIVE DASHBOARDS USING PYTHON
DATA VISUALIZATION USING R AND TABLEAU
LINUX COMMAND LINE, BASH PROGRAMMING, AND GIT
INFORMATION RETRIEVAL AND ANALYTICS
PRINCIPLES OF ECONOMICS – MACROECONOMICS FOR DATA SCIENCE
COMPUTATIONAL FINANCE
MACHINE LEARNING
BIG DATA ANALYSIS
DEEP LEARNING
CUSTOMER AND OPERATIONS ANALYTICS
DATA SCIENCE PROJECT 2


FINAL YEAR – BSc (hons) DATA SCIENCE
CRYPTOGRAPHY AND INFORMATION THEORY
MACHINE LEARNING AND RELATED APPLICATIONS
ADVANCED TOPICS IN STATISTICS
PROFESSIONAL AND ACADEMIC SKILLS 3
OPTIMISATION
FINAL YEAR PROJECT

Methodology

Lectures
practical sessions
Group Discussions
Videos
Presentations
Assignments

Lectures & Practicals

9.00 am to 4.00 pm (Monday, Tuesday, Wednesday)

Programme Fees

1st Year – Advanced Diploma in Data Science
LKR 200,000/- + LKR 2,000/-

2nd Year – Higher Diploma in Data Science
LKR 350,000/- + LKR 2,000/-

3rd Year – BSc (Hons) Data Science
LKR 700,000/- + LKR 5,000/-

Student loan facilities are available from BOC, NSB & NDB banks. Send us an inquiry to ask about payment plans and loan facilities.

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Course Inquiry Form Let us contact you
Submit your contact details below and one of our team member will be in touch soon.