Programme Overview
Today’s business is driven by data and data science. The influence of technology in all verticals of the business namely Human resources, sales, finance, manufacturing, and marketing has created a volume of data based on which decisions have to be evolved. Hence developing business analytics skills to infer and predict data becomes imperative in today’s context.
- Students will have career opportunities across the sector as business analysts/data analysts
- Students can pursue higher studies in the same field of a specialised area
- Develop unique and rewarding careers
Programme Structure
Students are required to pass 8 modules totalling 120 credits in each year (level). In total students must satisfactorily complete 480 credits (32 modules) with a combination of core and specialisation modules to be eligible for the award of the Dip/BSc (Hons) Business Analytics and Artificial Intelligence.
Modules in Year 1 (Level 3)| Module Name | Core/Optional | Credits |
|---|---|---|
| Fundamentals of Business Management | Core | 15 |
| Fundamentals of ICT | Core | 15 |
| Omani Culture & Civilization (Non-Arabic Speakers)/ Arabic Language and Society (Arabic Speakers) | Optional | 15 |
| Arabic Language and Society | Optional | 15 |
| Integrated Language Skills in English | Core | 15 |
| English for General Reading and Writing | Core | 15 |
| Business and Entrepreneurship | Core | 15 |
| Professional Communication Skills in English | Core | 15 |
| Logical and Problem-Solving Skills | Core | 15 |
| Module Name | Core/Optional | Credits |
|---|---|---|
| Principles of Business Analytics | Core | 15 |
| Introduction to Programming | Core | 15 |
| Business Mathematics and Statistics | Core | 15 |
| Introduction to Financial Accounting | Core | 15 |
| Principles of Management | Core | 15 |
| Principles of Marketing | Core | 15 |
| Principles of Economics | Core | 15 |
| Introduction to Predictive Analysis | Core | 15 |
| Module Name | Core/Optional | Credits |
|---|---|---|
| English for Employability Skills | Core | 15 |
| Cyber Security and e-commerce law | Core | 15 |
| Digital Marketing | Core | 15 |
| Social Media Analytics | Core | 15 |
| Research Methods | Core | 15 |
| Artificial Intelligence and Machine Learning | Core | 15 |
| Big Data Analytics for Business | Core | 15 |
| Business Forecasting | Core | 15 |
| Module Name | Core/Optional | Credits |
|---|---|---|
| Strategic Marketing | Core | 15 |
| Technologies Shaping Global Markets | Core | 15 |
| Operations Management | Core | 15 |
| Business Intelligence Systems | Optional | 15 |
| Strategic and HR Analytics | Optional | 15 |
| Analytics and Risk Management | Core | 15 |
| Business Analytics Project | Core | 15 |
Entry Requirements
- A student must have completed secondary school and obtained the General Secondary School Diploma (Thanaviya), 12th standard, or equivalent. Based on the student’s performance in the Undergraduate Entry Test, the student will be placed on either an undergraduate programme or the Foundation programme in the College.
- A Student can register directly for the undergraduate programme, if he/she has successfully completed the College’s Foundation Programme or passed the Undergraduate Entry Test (Maths, IT and English) or their equivalents.
- APL Test: Students who undertake the APL test and score 65 (equivalent to IELTS 6.5) or above are registered on the undergraduate programmes with an additional exemption on all English Language modules on the undergraduate programmes.
- Accreditation of Prior Learning (APL): Credits are transferred based on module evaluation with equivalent modules offered on the undergraduate programme. Evaluation is done by the APL coordinator and approved by the APL Committee. Students can only apply for APL exemption before they start the programme, and not during their programme of study. Therefore, students cannot claim an exemption for any module at a later date, after the initial APL assessment has been carried out.
Graduate Impact Statements
The programme is designed to develop graduates who are able to:
- Apply business analytics skills and demonstrate decision-making to address business-related issues based on data and facts
- Exhibit exemplary knowledge in the field of Business Analytics that matches the industry standards
- Exhibit cross-functional skills and possess relevant knowledge and skills to work collaboratively in the organisation
- Work individually and in groups demonstrating analytical and problem-solving skills to manage the business effectively
- Uphold ethical values for sustainable business development
Faculty:
Lead Faculty from Faculty of Business Management
Qualification:
BSc (Hons) Business Analytics and Artificial Intelligence
Awarding Institution:
University of Bedfordshire, U.K
Delivery Mode:
Full time and Part time
Classes Commence:
September and February
Duration:
Full Time: 4 Years | Part Time: 5 Years
