Module code: MAN2092

Module Overview

This module provides an introduction to the fundamentals of information technology and covers the uses of information systems in business scenarios and business organizations. The module equips students with skills of database management and an in-depth understanding of the role of information systems in this ‘information age’.

Module provider

Surrey Business School

Module Leader


Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 5

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 117

Lecture Hours: 27

Laboratory Hours: 6

Module Availability

Semester 1

Prerequisites / Co-requisites


Module content

Indicative content includes:

  • Fundamentals of management information systems

  • The role of information systems in business organizations

  • Data modelling and data analysis

  • Principles of relational database design

  • Enterprise information systems and strategy

  • Privacy and information security

  • Technology acceptance and diffusion

  • Web 2.0 and social media

  • “Big data” and cloud computing

Assessment pattern

Assessment type Unit of assessment Weighting

Alternative Assessment

An individual project (2500 words) that covers the key skills assessed in the group project.

Assessment Strategy

The assessment is a combination of a group project, an individual examination, and a series of laboratory tasks. The assessment strategy is designed to provide students with the opportunity to demonstrate a basic understanding of MIS as well as skills of applying the knowledge to real-life business scenarios.

Thus, the summative assessment for this module consists of:

  • Group Project        50%

The deliverables include a written report (approximately 5000 words) and an online video presentation (approximately 10 minutes). The deadline is usually the beginning of Week 12.

  • Final Examination      50%

The exam will cover all content of the module. Length of exam: one hour.

Formative assessment and feedback

  • Students will be asked to deliver laboratory assignments using Access, Excel and other IT tools. Assignments will not be graded, but feedback will be given in labs or office hours.

  • In Week 10, student project groups are expected to attend extended office hours to receive verbal feedback on a draft of their project work.

Module aims

  • A basic understanding of MIS for business with an emphasis on information management. 
  • Knowledge of the underlying data structure of information systems and their different forms.
  • Skills of applying MIS solutions to business challenges.
  • Awareness of emerging IS applications and the associated business models.

Learning outcomes

Attributes Developed
1 Understand various types of information systems at different managerial levels. K
2 Develop a critical awareness of emerging ITs and their impact on business organizations C
3 Comprehend how business data are captured, processed, and presented by information systems. K
4 Perform basic data analysis tasks with Microsoft Excel and Access to support business decision making PT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to help students gain both fundamental knowledge and practical skills. Students first develop conceptual understandings of data management in lectures and then practise database skills in lab tutorials.  

The learning and teaching methods include:

  • Two-hour lecture per week for 11 weeks.

  • One-hour lab tutorial per week for 6 weeks, starting week 4.

  • Learning and assessment activities on SurreyLearn.

  • Group project online presentations.

Individual Learning

Students are expected to take advantage of opportunities for individual learning, and opportunities for feedback on that learning. Examples include:

Lab assignments. These are opportunities to develop or further skills in key areas of IT, including database design and data analysis. There is a strong emphasis on data modelling and data management. Students receive feedback on their efforts in labs or in office hours.

SurreyLearn discussions. Students can engage with each other and receive feedback from the instructor by taking part in topic discussions on SurreyLearn.

Project week. Students are expected to attend extended office hours in Week 10 to receive feedback on a draft of their project work. This will allow them to improve the work and achieve a better grade.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: MAN2092

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2020/1 academic year.