BSC (Hons) in BUSINESS MANAGEMENT WITH BUSINESS ANALYTICS

Bsc(Hons) Business Management with Business Analytics

Awarded By UOB
Duration - 3 years
About Course

One of seven Business Management pathway options, this course merges business management with digital expertise, preparing graduates for data-driven careers. You gain a thorough training in data analysis, decision-making and real-world application from day one, exploring business management areas such as marketing and management as well as programming for data analysis; soft system analysis; and data modelling. You also develop a specialism through our seven pathway options: Digital Marketing Finance Human Resource International Business Law Placement

Why B.Sc Business Management with Business Analytics ?
  • Demonstrate an understanding of modern management practices in a technology dependent and data driven business environment (EDI, Sustainability, Ethics)
  • Analyze business complexity through the application of theories and frameworks in the management of business functions including Marketing, Finance, Operations, HRM, Strategy Design and Decision Making, Information Systems and Technology, and Governance
  • Critically investigate complex and varied situations situation collecting and evaluating information, and sourcing and analysing data in order and learn demonstrate understanding of a range of business problems and propose effective solutions and make recommendations
  • Apply a range of problem solving methodologies including both qualitative and quantitative techniques using relevant decision making models and business analytics; As all as communicate evidence-based outcomes to a wider range of audience
  • Display skills relevant in managing organizations effectively including stakeholder management, decision-making, leadership, communications skills, numeracy, team working
  • Select, propose and implement a research project through utilization of appropriate and innovative methodology (such as gathering information, analyzing information and making informed decisions) and the ability to use these research skills to solve problems in a business context
  • Develop a critical understanding of analytical technologies and advanced computational methodologies for decision making
Distinctive Features
  • Broadly based yet enough depth (programming skills, testing skills etc.) so as to give you credible vocational skills in Software Engineering;
  • Coverage of the entire Software Engineering life cycle and comprehensive skills in applied programming and in applied Software Engineering topics;
  • Taught by staff with both a strong academic research background who’re also actively engaged in knowledge transfer (e.g. to local SME’s), and who are at the forefront of their field;
  • Emphasis on the life-cycle but also in depth skills such as programming and analysis.

Career / Future Opportunities

    On this course, you develop specific skills and knowledge in the area of data analytics and business management that allow you, upon graduation, to follow a career as a data consultant able to offer business solutions using data-driven, evidence-based analysis. The course will help you prepare for opportunities to become data analysis specialist in the area of marketing, finance and operations across a wider range of service sectors. You also develop the skills required for lifelong learning, meaning you are well prepared to keep up with the ever-evolving field of business data analysis and ensure your future employability.

Course Structure

Unit Code Level Unit Name Credits
MAR026-1 4 Beginning your Professional Business Journey 30
BSS009-1 4 Evolution and Revolution of Business 30
AAF020-1 4 Applied Numeracy for Business 30
BSS010-1 4 Management in Practice 30
MAR042-2 5 Data and Research Methods for Business 15
AAF022-2 5 Data Analysis for Finance and Economics 15
BSS035-2 5 Employability and the future workplace 15
BSS037-2 5 Managing Business Complexity 30
BSS034-2 5 Smart Business 15
BSS036-2 5 Risk and Responsibility 30
CIS051-3 6 Business Analytics 30
BSS078-3 6 Data Optimization 15
SHR020-3 6 Dissertation 30
BSS083-3 6 Business Continuity and the Planet 30
BSS077-3 6 Data Visualization 15
  • Year-1
    • Coursework ( Projects, Assessments )
      58%
    • Written Exam
      14%
    • Practical Exam
      28%
  • Year-2
    • Coursework ( Projects, Assessments )
      43%
    • Written Exam
      44%
    • Practical Exam
      13%
  • Year-3
    • Coursework ( Projects, Assessments )
      86%
    • Written Exam
      14%
Entry Requirement

The basic criteria required for entry to the courses are listed as follows: The applicants should have any of the following:

  • Successfully pass Plus 2 with minimum 55% OR 2.2 GPA in Grade XII and minimum C in individual subject
  • OR 2 A level passes (with minimum C and D Grades)
  • OR Successfully complete Foundation year (from a recognized university or HE institution)

English language requirements are as follows :

  • English language requirements are as follows :
  • OR Nepalese High School 12th English minimum 60% or B Grade
  • University of Bedfordshire ELAS with minimum of B+ Grade.

Intake
  • May-June Intake
  • Sept-Oct Intake
  • Jan-Feb Intake
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