Master of Data Analytics

 
Introduction

This programme is designed for graduates desiring to enhance their competencies in data analytics concepts, tools, and technologies for delivering data-driven solutions to diverse business problems in the industry and society. The curriculum is specifically designed taking into consideration, current and future requirements of the industry and will be delivered by an experienced panel of experts drawn from both academia and industry.



Programme Objectives

According to the IT/BPM industry skills survey conducted by the SLASSCOM in 2018, the predicted human resource requirement in the IT/BPM industry by 2022 is 300,000. Moreover, AI/Machine Learning Specialists and Data Scientists have been recognized as top two types of technology professionals to be newly employed. On the other hand, competitive industrial sectors such as banking, insurance, retail, manufacturing, health and telecommunication, have started reviving their strategies with extensive focus on the data resource, generating a range of data related careers such as Data Scientist, Data Architect, Data/Business Analyst, Data Entry/Machine Learning Trainer, etc.

The proposed one-year Master of Data Analytics programme provides the opportunity to the graduates from various academic disciplines (both computing and non-computing related) to acquire the necessary skills in the field of big data analytics and enter into this highly rewarding job market. The specific objectives of the programme could be listed as follows.
  • Developing high quality professionals to meet the growing demand for data analytics-related careers in both private and public sector organizations
  • Upgrading the professionals who are already in the software industry with the basic knowledge and skills in machine learning and analytics
  • Enabling non-computing graduates to secure a career in the IT industry, particularly in the analytics field

Programme Outcomes

The proposed master of data analytics programme is designed in such a way that the candidates are given the opportunity to start from the basic level and then advance their competencies in using cutting edge tools and technologies in diverse domains of applied analytics. Thus, on successful completion of the program, the candidates would be able to:

  • appreciate the interdisciplinary nature of data science
  • contribute effectively as a member of an analytics team
  • recognize problems that can be solved with the support of analytics
  • identify the data requirements and, collect, pre-process, and store the right data in right format
  • design and conduct experiments using data to solve problems, as well as to analyze and interpret results
  • apply knowledge of mathematics, statistics, and programming to extract meaningful patterns from data
  • demonstrate a sound knowledge and understanding on the big data tools, technologies, and infrastructure
  • handle data with utmost professional and ethical responsibility
  • communicate effectively in written and verbal forms
  • passionately continue self-study on emerging big data analytics tools, techniques, and technologies


Duration:
12 months (The duration may vary due to unexpected interruptions)


Entry Qualifications

A bachelor’s degree in Science or Engineering

 OR

Bachelor’s degree in Arts, Technology, ICT or Commerce and Management, with a mathematical background* and a minimum of one years of managerial/executive/tertiary level teaching experience

 OR

any equivalent qualification acceptable to the Senate of the University of Kelaniya**

 

 * - Applicants who have done ICT, Statistics, Logic, Mathematics, Economics and/or Econometrics as a part of their bachelor’s degree programme or for GCE Advanced Level would be considered. The decision of the interview panel would be the final decision.

 ** - Applications of those who have diplomas/higher diplomas from recognized institutions will be considered based on their experience and other professional qualifications obtained.


Application Procedure
  • Application can be submitted online through fgs.kln.ac.lk or collected from the Faculty of Graduate Studies, University of KelaniyaApplication can be submitted online through fgs.kln.ac.lk or collected from the Faculty of Graduate Studies, University of Kelaniya
  • Application fee of Rs. 1000/- can be paid to any branch of People’s Bank to the credit of Account No: 055-1-001-1-0667549, People’s Bank, Kelaniya Branch
  • Perfected applications should be forwarded to Senior Assistant Registrar, Faculty of Graduate Studies, University of Kelaniya, Kelaniya along with the certified copies of the following documents and the customer’s copy of the paying-in voucher.
    • Certificates of educational and professional qualifications
    • Proof of work experience
    • Birth certificate
    • Identity card/passport
    • Other relevant documents (if any)
 
 
Note: Due to the current Covid-19 pandemic situation, submission of the certified copies of the documents could be done when the curfew and lockdown measures are lifted. Payment could be done through the online payment gateway of the Faculty of Graduate Studies.


Course Fee

The all-inclusive fee for the Master of Data Analytics course would be Rs. 350,000/-, which could be paid in three instalments with an initial upfront fee of Rs. 150,000 at registration. This fee includes a refundable deposit of Rs. 5000/-, which is charged for the use of the university library. The remaining installments should be paid as follows.

  • Installment 2: Rs. 100,000/- after three months of the registration
  • Installment 3: Rs. 100,000/- after six months of the registration
  

Programme Structure
 

Module

Type

Trimester

     

Mathematics for Data Science

Compulsory

1

Statistics for Data Science

Compulsory

1

Programming for Data Science

Compulsory

1

Business Intelligence and Information Systems

Compulsory

1

Database Systems for Data Science

Compulsory

1

 

   

Machine Learning

Compulsory

2

Data Mining and Big Data

Compulsory

2

Data Visualization

Compulsory

2

NLP and Text Mining

Optional

2

Big Data Technologies and Infrastructure

Optional

2

 

   

Applied Analytics

Compulsory

3

Professional Practice and Communication

Compulsory

3

Emerging Analytic Tools

Optional

3

Optimization and Decision Models

Optional

3

Business Analytics Seminar

Compulsory

3

 

Contact

  • Dr Chathura Rajapakse - MDA Programme Coordinator (071 3102034, 011 2914482) : chathura@kln.ac.lk
  • Faculty of Graduate Studies, University of Kelaniya (011 2903953) : http://fgs.kln.ac.lk

 

For application

 Visit: http://fgs.kln.ac.lk

Contact

MDA Program Coordinator
Dr Chathura Rajapaksha
Phone: 0112 914482, 0713 102034

Faculty of Graduate Studies (FGS)
Phone: 0112 903953
URL: fgs.kln.ac.lk
© 2018 Information & Communication Technology Centre, Department of Industrial Management, University of Kelaniya, Sri Lanka. All Rights Reserved.