BBA (Hons) Specialising In
Business Analytics
The BBA (Hons) in Business Analytics at SLIIT equips students with essential data analysis, machine learning, and visualization skills. Students gain hands-on experience in solving business problems using analytics, preparing them for roles in business analysis, data science, and consulting. The program covers emerging trends like big data, fintech, and blockchain, ensuring graduates can drive data-informed strategies and enhance business performance in a tech-driven world.
Duration
Intake
Schedule
SLQF Level
Medium
Awarding University
This recognized academic programme is awarded by SLIIT under the SLIIT Business School.
Ensures globally accepted academic standards, preparing students with practical skills aligned to current industry needs and expectations.
Accreditation
Why & What..?
The BBA (Hons) in Business Analytics at SLIIT is designed to equip you with the skills and knowledge to thrive in this evolving landscape.
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Industry-Relevant Curriculum - Learn cutting-edge technologies, data-driven decision-making, and business strategies tailored to real-world applications.
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Hands-On Learning - Gain practical experience through industry projects, case studies, and interactive labs, ensuring you are job-ready from day one.
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Expert Faculty & Industry Connections - Learn from experienced academics and industry professionals who bring real-world insights into the classroom.
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Global & Local Career Opportunities - Whether you aim for a career in Sri Lanka or abroad, our program opens doors to high-demand roles in IT, Business Analytics, and Digital Transformation.
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Personalized Learning Experience - Despite our dynamic and diverse student community, we ensure strong academic support through mentoring, career guidance, and industry-driven learning experiences tailored to help you succeed.
Join us and take the first step towards an exciting career at the intersection of business and technology!
The BBA (Hons) in Business Analytics program at SLIIT equips you with the cutting-edge skills and knowledge needed to thrive in today’s data-driven business world. This dynamic degree integrates business, technology, and analytics, enabling you to extract insights from data and drive strategic decision-making.
Throughout the program, you will gain expertise in data analysis, machine learning, business intelligence, and data visualization alongside a strong foundation in business administration, economics, and project management. You will learn to work with advanced analytical tools, develop predictive models, and translate complex data into actionable business strategies.
Hands-on learning is at the heart of the program, with real-world case studies, industry projects, and a business internship to ensure you graduate job-ready. You will also master R, Python, and Excel, preparing you for careers in data analytics, consulting, digital strategy, and more.
With 120 credits spread over four years, this degree provides a future-proof skill set, making you a sought-after professional in the rapidly growing field of business analytics.
Upon successful completion of the BBA (Hons) in Business Analytics at SLIIT, graduates will,
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Gain a comprehensive understanding of business principles and apply analytical techniques to solve complex business challenges.
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Develop proficiency in data analysis, statistical modeling, data visualization, and machine learning, enabling them to make data-driven decisions.
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Be prepared for diverse roles such as business analysts, data scientists, and consultants, contributing to industries like finance, healthcare, and technology.
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Strengthen critical thinking, problem-solving, and leadership skills, allowing them to drive innovation in organizations.
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Acquire hands-on experience through industry internships, research projects, and real-world case studies, ensuring practical application of analytics concepts.
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Enhance their ability to interpret and communicate data insights effectively, supporting strategic business decision-making.
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Demonstrate adaptability, ethical awareness, and a commitment to continuous learning, ensuring long-term success in a dynamic business environment.
This program equips graduates with cutting-edge analytical skills and business acumen, preparing them for impactful careers and further academic pursuits in Business Analytics.
Programme Structure
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First Year
Students build foundational knowledge in Business Management, Economics, Marketing, and IT for Business, establishing a strong base for future business analytics specialization
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Second Year
Specialized modules in Business Analytics, Data Analysis using Excel, Database Management, and Business Statistics help students develop essential analytical skills
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Third Year
Students focus on Customer Analytics, Data Visualization, and Programming, gaining hands-on experience with analytical tools to enhance business decision-making.
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Fourth Year
Research Project, Advanced Analytics, and electives such as Supply Chain Analytics, Accounting Analytics, and People Analytics equip students for professional roles or further academic pursuits in business analytics.
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| BM1011 | Learning and Study Skills | 1 |
| BM1012 | Principles of Management | 3 |
| BM1030 | Microeconomics | 3 |
| BM1014 | Business Mathematics | 3 |
| BM1015 | Information Technology for Business | 3 |
| BM1016 | English Language Skills | 2 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| BM1041 | Self Management | 1 |
| BM1042 | Macroeconomics | 3 |
| BM1043 | Financial Accounting | 3 |
| BM1044 | Legal & Political Environment in Business | 3 |
| BM1045 | Human Resources Management | 3 |
| BM1046 | Business Communication | 2 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| BM2011 | Personal Development Planning | 1 |
| BM2012 | Organizational Behavior | 3 |
| BM2013 | Business Information Systems | 2 |
| BM2014 | Principles of Marketing | 3 |
| BM2015 | Business Statistics | 3 |
| BM2016 | Operations Management | 3 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| BM2071 | Leadership and Teamwork | 1 |
| BM2072 | Business Negotiation | 2 |
| IM2710 | Foundations of Business Analytics | 3 |
| IM2711 | Mastering Data Analysis in Excel | 3 |
| IM2675 | Database Management Systems | 4 |
| IM2713 | Digital Strategy and Innovation | 2 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| IM3721 | Customer Analytics | 3 |
| IM3722 | Data Science in Real Life | 3 |
| IM3723 | Data Visualisation | 3 |
| BM3011 | Career Readiness and Business Etiquettes | 1 |
| BM3013 | Project Management | 3 |
| BM3012 | Business Ethics and Values | 2 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IM3641 | R and Python Programming | 4 |
| IM3741 | Operations Analytics | 2 |
| BM3061 | Business Research Methods | 3 |
| BM3031 | Business Internship | 6 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| BM4011 | Comprehensive Research Project(Continued to Semester 2) | 9 |
| BM4012 | Strategic Management | 3 |
| IM4710 | Business Metrics for Data Driven Companies | 3 |
| IM4730 | Social Media and Web Analytics | 3 |
| Elective(2) | ||
| IM4711 | Information Systems Management and Security | 3 |
| IM4712 | Supply Chain Analytics | 3 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IM4750 | Decision Modeling for Business Analytics | 3 |
| IM4751 | Data Mining and Predictive analytics | 3 |
| Elective(2) | ||
| IM4740 | Accounting Analytics | 3 |
| IM4720 | People Analytics | 3 |
More about the program
Local A/Ls: Minimum of 3 "S" passes in any stream in one and the same sitting for A/L.
Cambridge/Edexcel A/Ls: Minimum of 3 "D" passes in any stream in one and the same sitting for A/L.
Applicants should also pass the Aptitude Test conducted by SLIIT.
In addition, students must meet the prerequisite specified by the faculty. The program will be available upon meeting the minimum student enrollment.
- Enterprise Content Management Consultants
- BA Strategy Consultants
- Business Intelligence and Performance Management Consultants
- Optimization Consultants
- Enterprise Information & Management Consultants
The fee is presently Rs 350,000 per semester(Till Year 2 Sem: 1), Rs. 360,000 per semester(From Year 2 Sem: 2). To complete the degree in Sri Lanka. Fees for any subsequent semester should be paid prior to the commencement of each semester.
The BBA (Hons) in Business Analytics is a comprehensive four-year program designed to equip students with essential skills in data analysis, business decision-making, and problem-solving. Throughout the program, students gain expertise in key areas such as statistical analysis, predictive modeling, data visualization, and business strategy. By combining theoretical knowledge with practical experience, the degree ensures that graduates are well-prepared for the rapidly evolving business environment.
The program emphasizes hands-on learning, with practical modules in tools like Excel, R, Python, and SQL, alongside business-focused topics like marketing, operations management, and business ethics. Students also engage in a mandatory business internship in Year 3, providing real-world experience in applying analytical techniques to business problems.
With a strong foundation in business principles and a focus on the latest trends in analytics, this program enables students to develop the skills necessary for a successful career in the growing field of business analytics. The curriculum is constantly updated to reflect the latest industry advancements, ensuring that graduates are equipped to adapt to future changes in the business landscape.
Graduates of this program are not only capable analysts but also effective communicators and problem-solvers, ready to take on leadership roles in various sectors, including finance, marketing, healthcare, and technology.
FAQs
Graduates can pursue careers in data analysis, business intelligence, consultancy, machine learning, project management, and roles in data visualization, business metrics, and operations analytics across various industries, including finance, healthcare, and technology.
While a basic understanding of mathematics is helpful, the program is designed to teach key concepts of business analytics, including statistics, data analysis, and programming. No prior programming experience is required, as students will learn necessary tools like Excel, R, Python, and SQL during the course.
Students can choose from a range of elective modules, including Supply Chain Analytics, Information Systems Management and Security, Accounting Analytics, and People Analytics. These electives allow students to tailor their education to specific interests within the business analytics field.
The program includes a Business Internship in Year 3, which offers students practical experience in a real-world business setting. This hands-on experience is an integral part of the curriculum, helping students apply the theoretical knowledge gained throughout the program and build industry connections.