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 DipHE/BSc (Hons) Business Analytics with 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
Modules in Year 2 (Level 4)
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
Modules in Year 3 (Level 5)
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
Modules in Year 4 (Level 6)
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
In A Glance

Lead Faculty from Faculty of Business Management

DipHE/BSc (Hons) Business Analytics with Artificial Intelligence

Awarding Institution:
University of Bedfordshire, U.K

Delivery Mode:
Full time and Part time

Classes Commence:
September and February

Full Time: 4 Years | Part Time: 5 Years

Get in Touch

  • Tel: +968 2473 0400
  • WhatsApp : +968 7235 5500
  • Email: [email protected]
  • Mutrah | Way No. 2621 | Building No. 1986
  • P.O Box: 710, P.C: 112 | Ruwi | Sultanate of Oman
  • Hotline: +968 8007 1000