MSc Data Science

Postgraduate

In Colchester

£ 6,125 + VAT

Description

  • Type

    Postgraduate

  • Location

    Colchester

  • Duration

    1 Year

About the course
The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses

Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase


Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector

The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data


If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, MSc Data Science at Essex is for you

You study a balance of solid theory and practical application including:
Computer science
Programming
Statistics
Data analysis
Probability
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology


You also benefit from being taught in our School of Computer Science and Electronic Engineering, who are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of their research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014)

Facilities

Location

Start date

Colchester (Essex)
See map
Wivenhoe Park, CO4 3SQ

Start date

On request

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Reviews

Subjects

  • Statistics
  • Programming
  • Probability
  • Engineering

Course programme

Example structure
Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are, in many instances, just a selection of those available. Our Programme Specification gives more detail about the structure available to our current postgraduate students, including details of all optional modules.
Year 1
Dissertation (optional)
MSc Project and Dissertation (optional)
Applied Statistics
Machine Learning and Data Mining
Modelling Experimental Data
Text Analytics
Artificial Neural Networks (optional)
Bayesian Computational Statistics (optional)
Big-Data for Computational Finance (optional)
Combinatorial Optimisation (optional)
High Performance Computing (optional)
Natural Language Engineering (optional)
Nonlinear Programming (optional)
Professional Practice and Research Methodology (optional)
Programming in Python (optional)
Information Retrieval (optional)
Data Science and Decision Making (optional)
Research Methods (optional)
Statistical Methods (optional)
Stochastic Processes (optional)
Teaching
Core components can be combined with optional modules, to enable you to gain either in-depth specialisation or a breadth of understanding
Learn to use LATEX to produce a document as close as possible to what professional mathematicians produce in terms of organisation, layout and type-setting
Our postgraduates are encouraged to attend conferences and seminars on a Thursday afternoon
Assessment
Courses are assessed on the results of your written examinations, together with continual assessments of your practical work and coursework
Dissertation
You will be provided with a list of dissertation titles or topics proposed by staff and it may be possible to propose a project of your own
Most dissertations are between 10,000 and 30,000 words in length. However, these are guidelines, not mandatory word counts
Close supervision by academic staff
Previous
Next

Additional information

The collaborative work between our departments has resulted in well-known research in areas including artificial intelligence, data analysis, data analytics, data mining, data science, machine learning and operations research Our expert staff Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small The academic staff in our School of Computer Science and Electronic Engineering are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting Specialist staff working on data analytics include Dr Paul Scott, who researches data mining, models of memory and attention, and artificial intelligence, and Professor Maria Fasli, who researches data exploration, analysis and modelling of complex, structured and unstructured data, big data, cognitive agents, and web search assistants Specialist facilities Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple We have six laboratories that are exclusively for computer science and electronic engineering students All computers run either Windows 7 or are dual boot with Linux Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project You have access to CAD tools and simulators for...

MSc Data Science

£ 6,125 + VAT