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Big Data Analytics - MSc

Currently viewing course to start in 2023/24 Entry.

The MSc Big Data Analytics course will provide you with an insight into areas of data mining, big data management, and advanced statistics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics. You will use these to effectively model complex organisational requirements and propose suitable solutions....

  • Level Postgraduate Taught
  • Study mode Full Time/Part Time
  • Location City Centre
  • School School of Computing and Digital Technology
  • Faculty Faculty of Computing, Engineering and The Built Environment

Overview

The MSc Big Data Analytics course will provide you with an insight into areas of data mining, big data management, and advanced statistics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics. You will use these to effectively model complex organisational requirements and propose suitable solutions.

What's covered in the course?

The demand for big data analysis and management is continually increasing in business and computer science. For companies it can provide valuable insights, and results such as increased market share, profitability, possible cost savings and procedural efficiency. This course will equip you with the necessary skills to exploit big data tools and methods in order to drive innovation and growth in modern global organisations and society.

The learning activities on this Masters in Data Analytics degree are designed to encourage and facilitate your ability to gain employment and sustain a professional career in data analytics - by building your confidence and skills through hands-on experience and structured feedback. The course combines formal lectures and tutor-led workshops with independent study. You will develop key analytical and problem-solving skills, and will gain an aptitude for research, academic writing, and time management.

Technology enhanced learning will be used through the provision of online resources and discussion forums. Teaching will be conducted in a work-related context: you will work collaboratively with tutors, researchers, and businesses to prepare you for employment. Potential careers for Big Data Analytics graduates include roles in data science, data warehousing, consultancy, data security and data administration.

Tailor your degree

The Professional Placement version of the course is optional and is offered as an alternative to the standard version of the course. This will allow you to complete a credit bearing, 20 week Professional Placement as an integral part of your Master’s Degree. The purpose of the Professional Placement is to improve your employability skills which will, through the placement experience, allow you to evidence your professional skills, attitudes and behaviours at the point of entry to the postgraduate job market.

STEAMhouse building exterior

Introducing STEAMhouse

STEAMhouse is a centre for technology, innovation, creative thinking, prototyping and business development. Our brand new £70 million pound building is the new home for the School of Computing and Digital Technology.

Find out more

This course is open to International students.

Accredited By

This course is accredited by:

  • BCS, The Chartered Institute for IT
  • Engineering Council Accredited Degree

The course is very well structured and it helped me develop the skills required in the field of Data Science. The course was inclusive and involved theoretical concepts and practical real world scenarios. I enjoyed the application of Advanced Analytics, Machine Learning and Big data technologies which improved decision making and business skills. Every course module concluded with a practice assignment that allowed me to transfer the knowledge to real life learning. The faculty was extremely supportive, always approachable and very helpful in providing timely feedback and directions to sharpen my skillsets.
Radhika Rajagopa

Why Choose Us?

  • Research-led, practice-driven teaching - Our teaching is underpinned by our versatile research projects and strong industry links. 

  • Professional placement option - Gain desirable employability skills with the option of a professional placement. 

  • Experienced academic staff - Our academic staff have extensive professional experience and are engaged with both the government and industry in helping to solve complex problems. 

  • Excellent industry partnerships - Our previous students have gained work experience and graduate roles at companies such as: Hewlett-Packard, BT, Capgemini, Cisco, IBM and more.  

  • Committed to enhancing graduates’ employability - We support students through continuing professional development and learning in a global environment. 

  • Established data analytics group- which can supervise PhD projects.
  • Accredited by BCS, The Chartered Institute for IT - The course meets standards set by the profession.

OPEN DAY

Join us for an on-campus Open Day where you'll be able to meet us in person. You'll get the chance to learn about courses in subject talks, chat to tutors and explore our campus. We'll post you a detailed event programme to help plan your day and find your way.

Next Event: Saturday 24 June

Book your place

Entry Requirements

Essential Requirements

In order to be considered for a place on this course, you must have a 2:2 honours degree, or equivalent, in Computing or a computing-related subject with a substantial element of programming.

Additional information for EU/International students
Essential

International applicants are required to have IELTS overall band of 6.0 or equivalent.

Fees & How to Apply

Please select your student status to view fees and apply
  • UK Student
  • International Student

UK students

Annual and modular tuition fees shown are applicable to the first year of study. The University reserves the right to increase fees for subsequent years of study in line with increases in inflation (capped at 5%) or to reflect changes in Government funding policies or changes agreed by Parliament. View fees for continuing students.

Award: MSc

Starting: Sep 2023

  • Mode
  • Duration
  • Fees
  • Full Time
  • 12 months
  • £9,250 in 2023/24
  • Full Time
  • 18 months with Professional Placement (see below*)
  • £10,175 in 2023/24
  • £1028 per 20 credits
  • Year 1 - 80 credits
  • Year 2 - 100 credits

Fees for Part-time students

This course can be studied on a Part-time study basis. The cost per year of study is based on credit requirements for that year.

Award: MSc

Starting: Jan 2024

  • Mode
  • Duration
  • Fees
  • Full Time
  • 12 months
  • £9,250 in 2023/24
  • Full Time
  • 18 months with Professional Placement (see below*)
  • £10,175 in 2023/24

International students

Annual and modular tuition fees shown are applicable to the first year of study. The University reserves the right to increase fees for subsequent years of study in line with increases in inflation (capped at 5%) or to reflect changes in Government funding policies or changes agreed by Parliament. View fees for continuing students.

Award: MSc

Starting: Sep 2023

  • Mode
  • Duration
  • Fees
  • Full Time
  • 12 months
  • £16,870 in 2023/24
  • Full Time
  • 18 months with Professional Placement (see below*)
  • £18,557 in 2023/24

Award: MSc

Starting: Jan 2024

  • Mode
  • Duration
  • Fees
  • Full Time
  • 12 months
  • £16,870 in 2023/24
  • Full Time
  • 18 months with Professional Placement (see below*)
  • £18,557 in 2023/24

Access to computer equipment

You will require use of a laptop, and most students do prefer to have their own. However, you can borrow a laptop from the university or use one of our shared computer rooms.

Printing

You will receive £5 print credit in each year of your course, available after enrolment.

Field trips

All essential field trips and associated travel costs will be included in your course fees.

Access to Microsoft Office 365

Every student at the University can download a free copy of Microsoft Office 365 to use whilst at university and for 18 months after graduation.

Key Software

You will be able to download SPSS and NVivo to your home computer to support with your studies and research.

Key subscriptions

Subscriptions to key journals and websites are available through our library.

Media consumable items (optional)

This course requires the use of consumables.

Excess printing (optional)

Once you have spent your £5 credit, additional printing on campus costs from 5p per sheet.

Books (optional)

All module key texts will be in the University library, but in limited numbers. You may choose to purchase a copy.

Placement expenses (optional)

If you choose to undertake a placement, you'll need to budget for accommodation and any travel costs you may incur whilst living or working away from home.

Professional Placement option*

The Professional Placement option will allow you to complete a credit bearing, 20 week Professional Placement as an integral part of your Master’s Degree. The purpose of the Professional Placement is to improve your employability skills which will, through the placement experience, allow you to evidence your professional skills, attitudes and behaviours at the point of entry to the postgraduate job market.  Furthermore, by completing the Professional Placement, you will be able to develop and enhance your understanding of the professional work environment, relevant to your chosen field of study, and reflect critically on your own professional skills development within the workplace.

You will be responsible for finding and securing your own placement.  The University, however, will draw on its extensive network of local, regional and national employers to support you in finding a suitable placement to complement your chosen area of study.  You will also benefit from support sessions delivered by Careers+ as well as advice and guidance from your School. 

Placements will only be confirmed following a competitive, employer-led selection process, therefore the University will not be able to guarantee placements for students who have registered for the ‘with Professional Placement’ course.  All students who do not find a suitable placement or do not pass the competitive selection process will be automatically transferred back to the standard, non-placement version of the course.

Personal statement

You’ll need to submit a personal statement as part of your application for this course. This will need to highlight your passion for postgraduate study – and your chosen course – as well as your personal skills and experience, academic success, and any other factors that will support your application for further study.

Not sure what to include? We’re here to help – take a look at our top tips for writing personal statements and download our free postgraduate personal statement guide for further advice and examples from real students.

Course in Depth

Module

In order to complete this course a student must successfully complete all the following CORE modules (totalling 180 credits):

Professional Placement (optional)

In order to qualify for the award of MSc Big Data Analytics with Professional Placement, a student must successfully complete all of the Level 7 modules listed above as well as the following Level 6 module.

Download course specification

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Course breakdown

The MSc programme is normally studied over one year full-time or two years part-time (one year and one term full-time for January start). You may move between full and part-time modes of attendance. The course is divided into taught modules of 20 credits and a Masters project of 60 credits. Students complete 60 credits for Postgraduate Certificate, 120 credits for Postgraduate Diploma and 180 credits for the full MSc. Each credit represents 10 notional hours of student learning and assessment. The structure of the course, the module, levels and credit ratings and the awards that can be gained are shown below.

A range of assessment methods are employed, assessment criteria being published in each assignment brief. Knowledge and skills are assessed, formatively and summatively, by a number of methods: coursework, examinations (seen and unseen, open and closed-book), presentations, practical assignments, vivas, online forums, podcasts and project work.


This course is accredited by the following organisations:

Our accreditations from these bodies show employers that you have the level of knowledge and skills they need when you graduate.

BCS, The Chartered Institute for IT
BCS, The Chartered Institute for IT

This degree has been accredited by BCS, The Chartered Institute for IT. Accreditation is a mark of assurance that the degree meets the standards set by BCS. An accredited degree entitles you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

Engineering Council Accredited Degree
Engineering Council Accredited Degree

This degree has been accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords. 

Employability

Enhancing your employability

This course is suitable for undergraduates and those who have worked in the industry but do not have the recognised qualifications.

The school boasts graduates who have gone on to work for Hewlett Packard, Bell Micro, Birmingham City Council, BT, Cap Gemini, Cisco, Deloitte, Ericsson, Fujitsu, IBM, Intel Corporation, NHS, Motorola, National Express, NEC, Royal Mail, Shell IT, JP Morgan Chase and Co, Carillion plc, Siemens and Nokia and many more.

Placements

The School has exceptionally strong links with industry. Collaboration with industry is at the heart of our teaching, enabling us to keep our courses relevant and up-to-date and putting you in prime position for industrial placements, chances to contribute to real-life projects and career opportunities.

International

Birmingham City University is a vibrant and multicultural university in the heart of a modern and diverse city. We welcome many international students every year – there are currently students from more than 80 countries among our student community.

The University is conveniently placed, with Birmingham International Airport nearby and first-rate transport connections to London and the rest of the UK.

Our international pages contain a wealth of information for international students who are considering applying to study here, including:

Facilities & Staff

Our Facilities

We are constantly investing in our estate and are currently in the process of spending £260 million on new learning facilities. This course will be taught at Millennium Point at the City Centre Campus.

The course is supported with a wide range of cutting-edge facilities in the City Centre Campus. We have a state-of-the-art computer games technology lab which contains high-performance PCs, Sony PlayStation development kits and a range of industry standard software including Unity, Unreal and a suite of professional Microsoft development tools.

We also have many open access areas where students can study together and even hire out laptops for use in these spaces and others within the university.

Within the University there are many internationally recognised research teams giving you the opportunity to collaborate with them on exciting interdisciplinary projects.

Computer networking

The laboratories are well-equipped for all our computer networking courses, as well as specialist areas for practical work such as voice-over internet protocol (VoIP), forensic and ethical hacking technologies, wireless and mobile technologies and radio frequency identification technologies to name but a few.

Software development and computer programming

There are a number of open access, software development and computer programming laboratories that can be used to develop systems and programmes, including database management systems such as MySQL, to name but a few.

Systems laboratories

Our embedded systems laboratories are used to develop real-time systems, such as specialist hardware training and development resources, and industrial-standard software development and simulation tools. These include microcontroller software and robotics design and development, to name but a few.

Electronic systems

To underpin the basic principles of electronic systems, we have a well-equipped laboratory of general and specialist test and measurement kits, including powered prototyping development boards, dual power supplies, frequency generators and counters and digital multi-meters to name but a few.

Forensic computing

Our successful development of forensic computing has led to a specialist forensics laboratory that is fully equipped with essential hardware and software for this sensitive area of study. The laboratory includes high-spec PCs with built-in multi interface Tableau write blockers, EnCase and FTK computer forensic software and steganography detection and analysis software, to name but a few.

More on our facilities