The course fee of this program is subsidized through the National Export Strategy (NES) initiatives through the Export Development Board (EDB) and Sri Lanka Association for Software and Services Companies (SLASSCOM). Jeevan Gnanam, Chairman SLASSCOM, identified the importance of growing the country’s capacity and capability in the areas of Data Science and Artificial Intelligence as key for growing the industry and for our skills to remain competitive. Currently Sri Lanka’s IT exports are estimated to be over USD 1.2 billion and is the fifth-largest export earner offering Software/Product Development and Business Process Management (BPM) services. The industry is growing rapidly with the potential to reach USD 5 billion by 2022 with a workforce of 200,000 employees.Due to multiple technological advancements, the ability to capture data generated by various processes has become more viable and inexpensive.

With the availability of data, computation power and evolving data analytics, organizations are rapidly moving towards data driven decision making. This trend has created new career opportunities for Data Scientists, for those with skills in statistical data analytics, big data analytics, computer programming and a passion to extract information from data. The ICT sector in Sri Lanka which had previously focused more on software development and BPM can now explore new ventures by combining programming and database management experience with data analysis to emerge as data analytics companies.

Data scientists are very much in demand around the globe and has increasing career prospects in Sri Lanka as well. This has been highlighted in multiple studies including the LinkedIn 2017 Emerging Jobs Report, where Machine Learning Engineers and Data Scientists top the list. However, there is a considerable shortage in Data Scientists in Sri Lanka which has hindered the expansion of data analytics industry. This is mainly due to the lack of combined knowledge in Statistics, Computer Science, Mathematics and the knowledge of the industry domain. Having identified this need, the Department of Statistics of University of Colombo, through the newly formed Center for Data Science collaborated with the SLASSCOM to structure and promote this course on the Fundamentals in Data Science, to provide a strong foundation for those venturing into careers in Data Science.

This program is targeted towards professionals who already have skills in computer science such as programming and database management, those who have industry domain knowledge seeking to familiarize with data analytics or STEM graduates seeking a career as Data Scientists. The programme is structured as five short courses and an individual mini-project. The topics addressed include an introduction to Exploratory Data Analysis using R, Data Management, Introduction to Statistical models, Introduction to Machine Learning, Data Visualization and Big Data, followed by the individual mini-project. The course duration is four months with 15 hours of lectures and lab content for each course and a mini-project. At the successful completion of the short courses, the mini-project would need to be delivered within four weeks. The programme will be conducted by a panel of lecturers at the Department of Statistics, University of Colombo and experts from the industry as visiting lecturers.