MSc Business Analytics and Technologies: Extended
Award
MSc
Start Date
25/01/2027
Duration
18 months
Mode
Full-time
Location
私人午夜福利 Manchester
Business analytics helps organisations make better decisions by providing data-driven insights into customer needs, competitor strategies, and other market trends. If you're a graduate with a passion to improve business performance through data mining, analysis and visualisation, our MSc in Business Analytics and Technologies will support you in developing a breadth of in-depth knowledge and practical capability, ready for a career in this rapidly developing field.
Block Teaching
Course Overview
Business analytics is crucial to the success of companies of all sizes, supporting managers to make informed decisions, streamline processes and plan effectively. Organisations need highly-skilled professionals to process and interrogate business data to identify the patterns, trends, and correlations that support them to optimise their processes for cost savings, improve customer experience and identify opportunities for growth. By studying the 私人午夜福利 Manchester's MSc Business Analytics and Technologies degree you can develop essential knowledge and understanding of data analysis methods and business intelligence principles and practices while experiencing life at our supportive, student-focused, multicultural campus.A distinctive feature of this programme is the development of essential computer programming and data analytics skills; no prior expertise is assumed. We offer the knowledge and skills needed to interrogate and make sense of data, unlock vital insights and communicate your discoveries, so you can help turn business data into actionable insights that support good operational, tactical and strategic decision-making. Our expert and dedicated team will cover essential computing, data analytics, business, marketing, and life skills, including leadership, advanced analysis, creativity and problem-solving techniques. We'll support you as you learn to provide insight and analysis through clear visual, written and verbal communication.
Within each module, we'll explore relevant issues, strategies and practices, using live case studies, guest speakers from industry, and the latest research evidence. You'll have a choice of option modules covering specialist topics, and you'll agree on a capstone project with your supervisors that is completely tailored to your experience and specialism.
We focus on helping you develop industry-relevant knowledge and skills so that you are well-prepared for a career in business data analytics and technologies. We'll also support you in building lifelong learning skills so you can take ownership of your professional development for the future and maximise your potential for success.
What you will learn
- Business analytics and data-driven decision-making
- Programming and data analytics techniques for business applications
- Data visualisation, machine learning, and predictive analytics
- Technological innovation and digital transformation in organisations
- Research, problem-solving, and professional practice
Would you prefer to complete your course over a different timeframe? We also offer this course full-time over 12 months or part-time over 24 months. For details of the 12-month course, please visit our full-time MSc Business Analytics and Technologies course search web page. Alternatively, to find out more and apply for the 24-month course, please visit our part-time MSc Business Analytics and Technologies course search web page.
Highlights
- Practical experience with business analytics and data-driven decision-making
- Industry-informed modules covering business intelligence, technological innovation, and analytics
- Real-world business datasets and applied project work
- Opportunities to engage with industry professionals and business leaders
- Strong focus on employability and practical analytical skills
Key Features
- Access to industry-recognised platforms and tools supporting business analytics and cloud-based data processing, including AWS resources where appropriate
- Practical experience with data visualisation, analytics, and business intelligence tools
- Opportunities to work on applied projects using real-world business datasets
- Industry engagement through guest lectures and applied activities
- Supportive learning environment with a strong focus on professional development
Entry Requirements
- You should have at least a lower second class (2.2) honours degree (or equivalent) in any subject or five years of relevant work experience. You do not need prior experience in computer programming or data analytics.
- You must also have GCSE Mathematics at grade C or above or grade 4 to 9. Please get in touch with us for details of other acceptable qualifications. You'll need to attain a minimum mark in a diagnostic mathematics test if you don't have an acceptable mathematics qualification.
- If you wish to gain admission on the basis of five years of relevant work experience, you'll be required to attend an online or face-to-face interview and present evidence in the form of a portfolio of work and examples that demonstrate your suitability and aptitude for the course. The evidence should be presented in electronic format and attested by an independent person. The independent person could be a current or former lecturer or an employer with a more senior role than yourself. The University is looking for candidates who can demonstrate a clear style and commitment to their professional practice and who will benefit from experiencing this area of study.
- You may be required to attend an interview and/or provide a portfolio of work.
- We'll consider applications where appropriate work experience can be demonstrated in lieu of, or in addition to, the published academic qualifications in line with the University鈥檚 Recognition of Prior Experiential Learning (RPEL) procedures.
- If English isn鈥檛 your first language, you鈥檒l also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications 鈥� please visit our English Language Requirements web page for more details.
Where changes are made to material information contained in this course description or a decision is taken to suspend a course between the offer of admissions and enrolment, we will inform applicants at the earliest possible opportunity and will outline the various options available to the applicant.
Career Opportunities
Graduates of this programme are well prepared for roles such as:
- Business Analyst
- Business Intelligence Analyst
- Data Analyst
- Digital Transformation Consultant
- Business Analytics Consultant
The programme also provides a strong foundation for further specialist study or progression to doctoral research.
What can I do with this qualification?
Business analysts are in high demand, and business analytics roles are diverse. Big data has intensified the need for business analysts who can create data dashboards, graphs and visualisations to communicate insight to managers and stakeholders. You may find employment looking for trends and patterns that help companies make business decisions or predict demand for goods or services. There are also many roles in marketing and marketing research; for instance, in analysing trends in consumer feedback, determining the effectiveness of customer reward and loyalty schemes, and search engine optimisation for websites. Moreover, small and medium-sized enterprises need consultants to help them make data-driven business decisions on an ad hoc basis, so you could consider starting your own business to support their needs.
Alternative career options
Graduates may also progress into related roles. Some of these roles may require relevant experience and/or postgraduate study. Examples of possible careers include:
- Technology and Business Consultancy
- Information Systems Management
- Digital Transformation and Innovation
- Business Strategy and Operations
- Teaching and Academic Research (with further study)
Fees & Funding
Home/EU Fees
Home students starting this course in the first year will be required to pay a Home fee of 拢5,664 for the academic year 2026/27.
私人午夜福利 Fees
Overseas students starting this course in the first year will be required to pay a Overseas fee of 拢17,500 for the academic year 2026/27.
Bursaries
Important note regarding tuition fees: EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for 'Home' fee status. If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for 'Home' fee status under the Common Travel Area arrangement. Please read the web page on www.gov.uk for information.
Home Undergraduate Tuition Fee Adjustment
The tuition fee applicable to the first year of your programme of study is confirmed in your offer letter. The tuition fee set is based on the regulations and guidance in force at the time of offer but remains subject to adjustment in accordance with any government-approved inflationary increase. The University reserves the right to amend tuition fees for all years of study, including the first year, by no more than the maximum increase permitted under legislation and regulatory guidance issued by the UK Government and the Office for Students.
Where such increases are approved, they will not exceed the rate of inflation, as measured by an appropriate index such as the Consumer Prices Index (CPI), or any successor measure specified by government. The University will apply any adjustment consistently across affected student cohorts and will give reasonable notice to students of any confirmed change to the published fee before the start of the relevant academic year.
This approach ensures that tuition fees remain compliant with applicable legislation, proportionate to inflationary changes, and consistent with government policy linking permitted fee uplifts to the maintenance of high-quality education and outcomes. For more information, please refer to the government guidance at: .
Postgraduate and 私人午夜福利 Tuition Fee Adjustment
The tuition fee applicable to the first year of your programme of study is confirmed in your offer letter. The University reserves the right to amend tuition fees for subsequent years of study in accordance with its Course Fees Policy. Where such increases are approved, they will not exceed the rate of inflation, as measured by an appropriate index such as the Consumer Prices Index (CPI), or any successor measure specified by government. The University will apply any adjustment consistently across affected student cohorts and will give reasonable notice to students of any confirmed change to the published fee before the start of the relevant academic year.
How to apply
Home Applicants
You may apply directly to the University using the University's online application form. Please select your chosen start date from the list below:
You should have to hand:
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Details of the educational establishments you attended and dates
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Your certificates for the qualifications you are using to gain entry to the course 鈥� you will need to enter the completion date and upload copies
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Details of any employment history including name, address, dates and role
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Personal statement 鈥� this can be either input into the relevant field or uploaded separately
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Details including e-mail addresses of two referees, at least one of which should be someone who can provide an academic reference
Please make sure any documents you wish to upload in support of your application are in pdf or jpeg format. Personal statements may be word documents.
Please ensure your data is correct at each stage of the application before you proceed to the next page. If you use the back button at any time during the application, you should check the validity of the data you have already input.
If you experience difficulties during the application process, contact the Admissions Team on 01204 903394 or admissions-team@greatermanchester.ac.uk
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Apply online: 私人午夜福利 Manchester
私人午夜福利 Applicants
Thank you for your interest
In order to determine your suitability for this course as an international student and also to confirm you meet any initial eligibility criteria, we need you to answer a few short questions.
Teaching & Assessment
We use a blended learning approach, combining face-to-face sessions and practical work as appropriate. You can expect lectures, seminars, tutorials, discussion groups, guest speakers and master classes.
We'll also expect you to undertake considerable guided independent study; for instance, background reading, online activities, assessment work and preparation for sessions. We're committed to supporting you throughout your learning journey. Over time, our guidance will purposefully become less structured and prescriptive. This will encourage you to develop confidence and independence in your studies and take responsibility for managing your own learning time as you increase in autonomy.
Regarding assessment, you can expect a combination of written coursework, project work, oral assessments and portfolios. Summative assessments contribute to your final marks and are your chance to show you've met the learning outcomes for the course. Formative assessments, on the other hand, feature throughout your studies. While they don't contribute to your module or final marks, they inform and support your development by helping you build on your strengths, overcome any perceived weaknesses, and find the study strategies that best support your ultimate success.
This programme adopts a blended learning and teaching style, including online delivery and engagement where appropriate.
Modules
The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.
- Research Methods
- Project
- Professional Practice
- Programming for Data Analytics
- Business Analytics
- Technological Innovation in Business
- Marketing Analytics
- Data Analysis and Visualisation
- Data Mining and Machine Learning
Assessment methods
| Level | Assessment method |
|---|---|
| Level 1 | Coursework 100% |
Learning Activities
| Level | Activity |
|---|---|
| Level 1 | Guided independent study 83% Scheduled learning and teaching activities 17% |
The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. The university considers changes to courses very carefully and the university will minimise any changes. Please be aware that our courses are subject to review on an ongoing basis and changes may be necessary due to legitimate staffing, financial, regulatory and academic reasons. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up-to-date and responsive to employment and sector needs. The published course material and the programme specification contain indicative 鈥榦ptional modules鈥� that may be subject to change due to circumstances outside of our control. For this reason, we cannot guarantee to run any specific optional module.
Programme Contacts
Disclaimer: The 鈥淕reater Manchester Way鈥� represents our preferred teaching and learning approach; however, not all courses follow a block-teaching model. While course structures and delivery patterns may vary to meet Professional, Statutory and Regulatory Body (PSRB) requirements, all courses benefit from the GM Way approach to curriculum design and assessment. Applicants and students should refer to individual course specifications for the most accurate and up-to-date information.
