MSc Data Science

Transform Data into Data-Driven Decisions to Drive Business Goals

Master the art of merging business expertise with advanced technical skills to generate meaningful business impact. Explore databases, programming, machine learning, artificial intelligence, data mining, data visualization, and big data analytics. Guided by expert faculty and top industry professionals, this program, awarded by the renowned Coventry University, UK, combines an internationally recognized curriculum with hands-on industry projects, empowering you to harness the power of data, solve real-world challenges, and propel your career in the dynamic digital landscape.

Why Choose NIBM/Coventry University to Pursue Your MSc in Data Science?

1. Internationally Recognized Degree from Coventry University
By choosing to study the MSc Data Science program at NIBM, you will earn a globally recognized degree from Coventry University, UK. Coventry is renowned for its high academic standards and innovative research, providing you with a prestigious qualification that opens doors to international career opportunities.

2. Comprehensive Data Science Curriculum Covering All 8 Pillars
Our MSc Data Science program features a curriculum that comprehensively covers the entire domain of data science. If you’re planning to drive data science teams as a leader or provide leadership to drive data-driven decisions, it’s crucial to understand the full scope of data science rather than mastering just one pillar. With a focus on key areas like Artificial Intelligence (AI), Machine Learning (ML), and Big Data, the program addresses all 8 pillars of data science. This ensures you develop a holistic understanding of data, from foundational concepts to advanced techniques, preparing you for diverse roles in the data science industry.

3. Expert Faculty with Industry Experience
Our faculty includes top academic professionals, as well as industry experts with hands-on experience in the field. Additionally, we have PhD-level resources in Data Science who bring advanced research perspectives to the classroom. This combination of academic excellence and industry expertise ensures that you receive the highest quality education, along with valuable insights into the latest trends, tools, and real-world applications in the data science industry.

4. Practical Industry Exposure
At NIBM, we prioritize hands-on experience. The MSc Data Science program includes opportunities to work on industry-based projects, enabling you to apply your skills in real-world scenarios. You’ll collaborate with industry professionals and gain invaluable experience that makes you job-ready upon graduation.

5. State-of-the-Art Resources and Infrastructure
We offer cutting-edge facilities and resources to support your learning. From advanced data science labs to access to big data platforms and cloud computing environments, you’ll have the tools you need to gain practical skills and stay at the forefront of data science technology.

6. Research and Publication Opportunities
With Coventry University’s support, you will have opportunities to engage in high-impact research projects and publish papers in international conferences and journals. This is an excellent opportunity for those considering further studies or aiming to become thought leaders in data science.

7. Pathway to Advanced Careers and Higher Studies
The MSc in Data Science from NIBM and Coventry University prepares you for leadership roles in data science, AI, and analytics. Our graduates are well-equipped to pursue PhDs or take on expert positions in the industry, paving the way for a successful and impactful career.

8. Global Networking and Alumni Support
Studying at NIBM gives you access to an extensive network of alumni and industry contacts from around the world. This network will support you throughout your career, offering mentorship, guidance, and potential career opportunities as you build your professional journey.

9. Comprehensive Curriculum with Cutting-Edge Modules
Our curriculum is designed to provide a deep understanding of data science, machine learning, AI, and big data technologies. With modules such as Machine Learning, Artificial Intelligence, and Data Visualization, you’ll gain expertise in areas that are crucial for solving modern business challenges.

NIBM

Department

Business Analytics Centre
NIBM Programmes

Campus

Kirulapone /
NIBM Programmes

Level

Masters
NIBM

Method

Part-Time (Weekends)
NIBM

Duration

18 Months

ENTRY REQUIREMENTS

  1. Degree Holders:

Candidates who have completed a degree in Data Science, Artificial Intelligence, IT, Computer Science, Engineering, Statistics, Mathematics, or a related discipline with significant content in these areas, from a recognized institution (subject to validation by NIBM), are eligible for enrollment.

  1. Additional Pathways:

Applicants with non-technical degrees must demonstrate prior qualifications or knowledge in the following areas:

  • Python Programming for Data Science
  • Basic Mathematics/Statistics

Applicants with diplomas in Data Science, Artificial Intelligence, IT, Computer Science, Engineering, Statistics, Mathematics, or a related discipline must have at least 8 years of industry experience in the same field.

Commencement

  • NIC (Kirulapona) – 04th May 2025 / 05th October 2025 (Part-Time)

Course structure and modules

  • Machine Learning
    Master advanced machine learning techniques to automate decision-making and optimize business operations. Learn to deploy ML models using cloud technologies and integrate them with modern cloud tools to scale and manage machine learning workflows effectively across dynamic business environments.
  • Principles of Data Science
    Advance your understanding of core data science theories, methodologies, and statistical techniques. Explore how these principles guide organizations in transforming data into strategic business insights and decisions.
  • Data Visualization and Communication
    Develop advanced skills in creating impactful data visualizations that not only present complex data but also tell compelling stories. Learn how to communicate insights effectively through storytelling to persuade business stakeholders, drive decisions, and align strategies with organizational goals.
  • Data Mining
    Learn advanced data mining techniques to uncover hidden patterns and trends within large datasets. Apply these methods to extract valuable insights that can guide business strategies and decision-making processes.
  • Artificial Intelligence (AI)
    Explore advanced AI techniques, including neural networks and Large Language Models (LLMs), to solve complex business problems. Learn how to build, implement, and refine deep learning models and leverage new tools and techniques in AI to drive business efficiency, automation, and innovation.
  • Big Data Analytics Technologies
    Gain exposure to multiple big data platforms and advanced algorithms that help manage and analyze massive datasets. Learn how to leverage cutting-edge technologies and big data techniques to uncover actionable insights, drive innovation, and gain a competitive edge for businesses.
  • Information Retrieval
    Learn advanced methods for retrieving text data from multiple data sources, including structured and unstructured datasets. Work with cutting-edge technologies like Large Language Models (LLMs) to extract and process meaningful information, driving intelligent data retrieval systems to support data-driven decision-making.
  • Programming for Data Science
    Master advanced programming techniques using Python, SQL, and big data programming languages such as Spark and Scala. Develop the skills to solve complex data science challenges by transforming business requirements into data-driven solutions through sophisticated coding, automation, and data processing methods.
  • Data Science Project
    Capstone module where students integrate advanced data science methods to solve real-world business problems. Students will have the opportunity to work on industry-based use cases and collaborate with industry professionals, who will act as supervisors, to deliver comprehensive, data-driven solutions that address strategic business needs. Coventry University also provides opportunities to publish research papers in international conferences or journals, helping students define their path toward PhDs and become industry experts in data science.

Programme Fees

Current Fee Structure

  • Course Fee: LKR 1,000,000/- + Registration Fee: LKR 25,000/-

*Subject to change with prior notice. Conditions apply.

Flexible Payment Options

  • All course fees can be paid in installments.

Early Registration Benefits

  • Early registration benefits and scholarship opportunities will be announced prior to the registration process.