Introduction to Business Analytics

The details
Essex Business School
Southend Campus
Undergraduate: Level 5
Monday 15 January 2024
Friday 22 March 2024
20 June 2023


Requisites for this module



Key module for

BSC N111 Business Administration and Supply Chain Management,
BSC N112 Business Administration and Supply Chain Management (Including Placement Year),
BSC N113 Business Administration and Supply Chain Management (Including Year Abroad),
BSC N114 Business Administration and Supply Chain Management (Including Foundation Year),
BSC N114CO Business Administration and Supply Chain Management (Including Foundation Year)

Module description

This module will offer an opportunity to develop knowledge and skills in the domain of business analytics and data science.

It will focus on introducing different tools and approaches to support data analysis and decision making in the business environment. The module is designed to enhance students' ability of data analysis to uncover embedded information useful for decision making.

Module aims

The aims of this module are:

  • To provide a comprehensive understanding of key tools and methods of business analytics.

  • To develop practical skills and knowledge among students for data analytics and decision making.

  • To build confidence in students to apply data analytics tools and methods to support business decisions.

Module learning outcomes

By the end of this module, students will be expected to be able to:

  1. Clearly understand the key concepts and approaches of business analytics and data science.

  2. Clearly understand the role of data analytics in effective decision-making in practice.

  3. Evaluate the potential of data analytics in supporting complex decision-making in the real-world business environment.

  4. Analyse the challenges in implementing business analytics tools and methods in practice.

Module information

Indicative syllabus topics

  • Introduction to Business Analytics

  • Review of probabilities and statistics

  • Decision making under uncertainty

  • Simulation models

  • Application of simulation models

  • Linear optimization; Sensitivity analysis

  • Non-linear optimization

This module is part of the Q-Step pathway. Q-Step is an award which you can gain simply by enrolling on specific modules and will signal to employers your capability in quantitative research. Learn more about the Q-Step pathway and enhance your degree now.

Learning and teaching methods

This module will be delivered via:

  • One 1-hour lecture per week;
  • One 1-hour seminar per week; together with
  • Case studies; class exercises; group work; signposting to additional resources and support.

Students will be encouraged and required to refer to a wide range of resources covering textbooks and academic peer-reviewed journal articles, to build an understanding of theoretical concepts and refer to online platforms to follow current trends and practices concerning business analytics and decision-making tools. The lectures will be developed around key concepts as mentioned in the indicative module content and will use a range of examples and cases from practice to demonstrate the application of theoretical concepts.


The above list is indicative of the essential reading for the course.
The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students.
Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Individual Essay    100% 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
100% 0%


Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Peng Xu, email:
Peng Xu



External examiner

Dr Oscar Rodriguez-Espindola
Aston University
Senior Lecturer in Operations and Supply Chain Management
Available via Moodle
Of 20 hours, 20 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.


Further information
Essex Business School

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