Bachelor of Science in Applied Data Science Communication

Abbreviated Title: BSc in ADSC

Bachelor of Science in Applied Data Science Communication (BSc in ADSC) is an innovative interdisciplinary degree course designed by academics and industry experts and hosted by the Department of Languages of the Faculty of Management, Social Sciences and Humanities.

According to industry experts, data storytelling is an art that most experts in the computer field and business fields are unable to perform. The hard-core data scientists may also be unable to communicate the data they ana

lyse although they are good in data analytics. Therefore, there is a void for effective communicators of data. Thus, the organisations are now seeking for individuals with interdisciplinary knowledge who are better communicators. This BSc in Applied Data Science Communication course goes beyond data science.  Students will gain an understanding of key concepts in data science, economics, accounting, finance, management and communication.

An effective data storyteller needs knowledge on extracting data from available data sources, understanding how to analyse the existing data and how to visualize and communicate the data effectively. In doing so, they need to work with government and private sector organisations and understand how organisations function.

The students on the course will be able to understand how organisations work through the knowledge and skills gained by learning basic concepts in economics, accounting, finance and management. They will then be able to extract data from databases in different organisations using their knowledge and skills in computer science, analyse the extracted data applying their knowledge and skills in statistics and present the analysis to any stipulated audience effectively applying their knowledge and skills in communication. In doing so, they will be able to adhere to professional ethics and data protection regulations.

Through the interdisciplinary knowledge gained on the course, the graduates of this programme will be able to serve various sectors including government and private organisations.

Bachelor of Science in Applied Data Science Communication programme of KDU has been designed in accordance with international standards and the requirements of Sri Lanka Qualifications Framework.

Duration
03 Years
Medium
English
Location
KDU Ratmalana
Course Fee
LKR 1,500,000.00
Other Programme Details
Field of SpecializationData Science 
Academic Hours1825 (15 weeks for each semester)
Entry Requirements

Sri Lankan nationals

Those wish to join the programme should possess minimum qualifications required to enter a university in Sri Lanka.

Minimum requirement:

  • G.C.E. (Advanced Level) –Three Simple Passes (S) in Mathematics, Bio Science, Commerce or Technology streams, or those who have taken Economics or Statistics in the Arts stream or any other relevant subject combinations related to Mathematics/ Statistics/ IT/ Economics,
  • pass in the Common General Test
  • at least a Credit pass for English and Mathematics in the G.C.E. (O/L) examination (or equivalent, e.g. London O/L, Cambridge FCE/CAE/CPE/BEC).

Equivalent qualifications to G.C.E. (A/L) (E.g. Cambridge or Edexcel) are also considered.

 

Foreign nationals

Foreign nationals who wish to join the programme should possess qualifications equivalent to G.C.E. (Advanced Level) indicated above.

They should possess a qualification equal to G.C.E. (A/L) in one of the following subject streams: Mathematics, Biology, Commerce, Technology, Arts (with Economics and/or Statistics), any other relevant subject combinations related to Mathematics/ Statistics/ IT/ Economics.

Career Opportinities

The demand for data scientists continues to outpace supply, with employers across the globe increasingly prioritizing data-driven decision-making. The World Economic Forum’s Future of Jobs Report (2025) highlights that roles in data science and analytics remain among the fastest-growing occupations, driven by rapid advancements in AI, big data, and digital transformation across nearly all industries—from aerospace and healthcare to agriculture and sustainability.

The report emphasizes that Data Analysts and Scientists, Big Data Specialists, and AI and Machine Learning Specialists are among the top 15 fastest-growing jobs globally for the 2025–2030 period. This trend is fueled by the rising need for organizations to interpret and leverage data effectively in a world increasingly shaped by automation, AI, and geoeconomic shifts.

With this qualification, students will be equipped with the critical technical knowledge and adaptable skill set demanded in today’s evolving data-driven job market. Graduates will be prepared for careers such as:

  • Data Analysist
  • Business Intelligence Developer   
  • Data Engineer
  • Business Analysist
  • Data Scientist
  • Database Developer
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