MSc Big DataUniversity of Stirling
MSc Big Data
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MSc Big Data
Big data is increasingly important in today’s commercial landscape. As a data scientist specialising in big data, you’ll help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.
The MSc Big Data is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. You’ll gain practical skills in big data technology, advanced analytics and industrial and scientific applications.
The course will teach you how to collect, manage and analyse big, fast moving data for science or commerce. You’ll learn skills in cutting-edge technology such as Python, R, Hadoop, NoSQL and Machine Learning. At the same time, you’ll delve into important maths and computing theory, and learn the advanced computational techniques you need to develop your career in data science.
Our MSc has been developed in partnership with global and local companies who employ data scientists. Since the course was launched in 2012 we have developed a great relationship with employers who are looking for the skills that we teach.
The University of Stirling is a member of The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It also supports our students with funding, networking and routes into employment. We also have close links with the Scottish Informatics and Computing Science Alliance (SICSA).
As a graduate in Big Data you’ll be able to work in a wide range of sectors such as digital technologies, energy and utilities, financial services, public sector and healthcare.
A minimum of a second class honours degree or equivalent in a numerate subject such as maths, computing, engineering or an analytic science. Applicants without these formal qualifications but with significant appropriate work experience are encouraged to apply.
English language requirements
If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS Indicator 6.0 with a minimum of 5.5 in each sub-skill
- Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill
- Cambridge C2 Proficiency (CPE) 180 overall with a minimum of 162 in each sub-skill
- Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill
- IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
- IBT TOEFL Special Home Edition Test 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
- TOEFL ITP Plus for China minimum 543 overall, 54 in listening, 53 in structure and written expression, 56 in reading and B2 in speaking
- Trinity ISE II Pass overall with a Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills
- Aptis (4 skills) CEFR B2 overall and B2 in all sub-skills
- Duolingo 95 overall with a minimum of 90 in all sub-skills
- LanguageCert International ESOL B2 Communicator - Pass with minimum 33 in each sub-skill
For more information about admission requirements, please visit the university website.
Does this course require proof of English proficiency?
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This course will equip student with the some basic mathematical knowledge and problem solving skills.
Statistics for Data Science
The course is intended to give students:
- a basis for the analysis and interpretation of quantitative information
- an understanding of the basic ideas underlying statistical methods at an introductory level
- an understanding of how to overcome problems when analysing big data sets
After a recap of SQL, this course takes you through the various NoSQL databases, including document stores like MongoDB, column stores like Cassandra and graph databases such as Neo4j. You'll learn to pick the right database for your application and how to build, search and distribute the data in them.
Big Data Analytics
- You'll learn the practicalities of big data analytics with techniques from data mining, machine learning, statistics, data visualisation and web analytics. You’ll explore how we’re training computers to understand the present and predict the future with data from finance, marketing and social media.
Analytical and problem solving methods you will learn include:
- Maths and Statistics
- Probability and likelihood
- Information theory
- Linear algebra
- Data Mining
- Neural networks
- Bayesian networks
- Decision Trees
- DM project management
Hadoop and MapReduce
This course covers distributed data processing with Hadoop and MapReduce in addition to the use of Condor for distributed computation.
Scientific and Commercial Applications
With guest lectures from science and industry, this course presents a set of case studies of Big Data in action. You'll learn first-hand how companies are using big data in fields such as banking, travel, telecoms, genetics and neuroscience.
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
Mode of study: part-time, full-time, campus based, stand-alone modules
- Course fee for UK students: £9,350
- Course fee for EU students: £20,845
- Course fee for Overseas students: £20,845
Award: Masters / MSc, Postgraduate Diploma, Postgraduate Certificate
On this Masters course you’ll gain:
- an understanding of the issues of scalability of databases, data analysis, search and optimisation
- the ability to choose the right solution for a commercial task involving big data, including databases, architectures and cloud services
- an understanding of the analysis of big data including methods to visualise and automatically learn from vast quantities of data
- the programming skills to build solutions using big data technologies such as MapReduce and scripting for NoSQL, and the ability to write parallel algorithms for multi-processor execution
Big data skills are in high demand. You will have opportunities with data-driven companies from a wide variety of sectors and command a salary that’s typically higher than the IT average. As a graduate in Big Data you’ll be able to work in a wide range of sectors, such as digital technologies, energy and utilities, financial services, public sector and healthcare.
About this institute
University of Stirling
The University of Stirling is an international university committed to helping students make a difference in the world. We’re passionate about creating impact in everything we do - addressing real societal issues, providing solutions, and helping to shape communities. Based...
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