BM9710 - Data Analytics for Business Decision Making

What will I learn on this module?

You will gain an understanding of the role data analytics can play in decision making for senior managers, and acquire a skill set which will enable you to both carry out and evaluate results from such analysis.

There is an increasing need for business leaders to know how to use data to develop meaningful and robust business solutions. This module will equip you with the practical knowledge and confidence to achieve this. Specific topics covered will vary but are likely to include content such as Project Management; Data Management for Decision Making (using specialist software packages such as SAS); Statistics for Business and Predictive Modelling.

How will I learn on this module?

You will learn through a series of hands-on, experiential learning sessions where you will be guided in the use of various software packages to reach decisions and will then consider their potential uses and organisational implications. These will all take place in computer workshops to facilitate the acquisition of the necessary practical skills.

Some of these packages may be familiar to you already (e.g. Microsoft Excel) while others are likely to be new to you (e.g. SPSS, SAS). In each session, an experienced practitioner academic will introduce the key underlying theoretical concepts of the techniques to be covered but the emphasis will be on rigorous practical exploration of techniques for managing and interrogating data sets to reach meaningful and practical conclusions.

How will I be supported academically on this module?

You will be supported primarily by the module tutor, who will be available for guidance and consultation about the module and its requirements. A teaching and learning plan and module Blackboard site will also be used extensively to support learning, set out the schedule of work and provide materials. Less formally, all members of the teaching team will provide support and assistance in the taught sessions. Given the practical nature of the work, there will be ample opportunity for discussion and provision of formative feedback in the class contact time.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at:
(Reading List service online guide for academic staff this containing contact details for the Reading List team –

What will I be expected to achieve?

Knowledge & Understanding:
1. Knowledge of decision making techniques for business problem solving.

Intellectual / Professional skills & abilities:
2. The ability to use a range of management decision making software packages;
3. The ability to analyse quantitative data using appropriate techniques;
4. The ability to interpret outputs from data analysis and to use these to gain insights into potential courses of action.

How will I be assessed?

You will be assessed in a single assignment (3000 words).

This will focus on the practical application of the techniques discussed to a realistic business scenario.

While this assignment will be submitted as a single piece of work at the end of the teaching period, it will be possible for students to consider it as the topics are explored in class allowing participants to complete it alongside the taught sessions.

The assignment will assess all module learning outcomes.

Ongoing formative feedback will also be provided in the taught sessions by the module teaching team.





Module abstract

Business decision making is an increasingly complex field. Some of this complexity is due to the range and amount of data that managers are expected to process on a regular basis: for example examining large data sets for emerging trends, monitoring progress on projects or forecasting for decision making.

This module will equip you with some of the practical skills needed to manage this complexity and to generate conclusions which can be used for management decision making. Through experiential learning, you will develop the ability to analyse data using a variety of approaches, each best suited to particular problem scenarios. Since the emphasis is on practical applications of the techniques discussed many classes will take place in IT workshops very much enabling participants to ‘learn by doing’. This IT based approach will complement the learning found in other modules by developing a different skill set and ensuring that the learning experienced has a real world application in business.

Course info

Credits 10

Level of Study Postgraduate

Mode of Study 15 months

Location Singapore

City Singapore

Start September, December, March or June

Fee Information

Module Information

All information is accurate at the time of sharing.

Full time Courses starting in 2023 are primarily delivered via on-campus face to face learning but may include elements of online learning. We continue to monitor government and local authority guidance in relation to Covid-19 and we are ready and able to flex accordingly to ensure the health and safety of our students and staff.

Contact time is subject to increase or decrease in line with additional restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors, potentially to a full online offer, should further restrictions be deemed necessary in future. Our online activity will be delivered through Blackboard Ultra, enabling collaboration, connection and engagement with materials and people.


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