Data Science MSc - 2018 Entry

Entry Year
2018

Duration
Full time 12 Month(s)

Course Overview

From business and finance or health and medicine, to infrastructure or education, data science plays a vital role in all aspects of the modern world. Our MSc programme will ensure you have an advanced level of skills, knowledge, and experience to achieve your career aspirations.

Studying for an MSc in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. Your study will build upon the fundamentals, and our specialist pathways will allow you to practise and enhance technical skills, while gaining professional knowledge that will support and advance your career aspirations.

Over the year, you will explore five core Data Science modules. These will ensure you have a solid advanced grounding in the subject, to support your choice of specialism.

You can choose from two specialisms according to your background and interests:

  • Computing
  • Statistical Inference

In taking one of these routes, you will gain access to a range of exciting, advanced pathway-specific modules. These modules will allow you to either enhance your understanding of data science technologies; or to gain expertise in the application of data science to business intelligence, bioinformatics, population health, the environment, or the study of society. Our specialist modules will provide you with detailed, expert knowledge and will enhance your employability. This format means that you will be equipped to apply for any data science related career, while providing you with an advantage in many industries.

In addition to these taught modules, you will also have the opportunity to undertake a 12-week placement either within industry or as part of an academic research project. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience and demonstrate a working grasp of the discipline.

The placement project represents a substantial, independent research project. Supervised by an academic, you will develop your ability to gather and analyse data, draw valuable conclusions, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, exercise your ability to solve problems and manage a significant project. This will be great experience for you to draw upon in an interview and in your career.

Assessment

We offer an excellent range of learning environments, which include traditional lectures, laboratories, and workshops. We are also committed to providing timely feedback for all submitted work and projects.

Assessment varies across modules, allowing students to demonstrate their capabilities in a range of ways, including laboratory reports, essays, exercises, literature reviews, short tests, poster sessions, oral presentations, and formal examination.

Community

We have a great relationship with our students and alumni, who have praised the School for its ambition, positivity and friendly atmosphere. By providing a number of support methods, accessible at any stage of your degree, we strive to give our students the best opportunity to fulfil their potential and attract the very best opportunities for a successful career. Our academics are welcoming and helpful; you will be assigned an academic advisor who can offer advice and recommended reading; and our open door policy has been a popular feature among our students. We believe in encouraging and inspiring our computing and communications scientists of the future.

Career

The gathering, interpretation and evaluation of data is fundamental to all aspects of modern life. As a result, data science can lead to a career in a wide range of industries. The core modules of this programme will ensure you are properly equipped to apply yourself to any data role, while your specialist pathway will enhance your opportunities in specific industries, should that be the route you wish to pursue.

Studying at Masters level will further enhance your career prospects, opening up opportunities to progress further in your career.

In addition, many of our Data Scientists also elect to study a PhD qualification.

We provide careers advice and host a range of events throughout the year, including our annual careers fair, attended by exhibitors who are interested in providing placements and vacancies to computer science students and graduates. You can speak face-to-face with employers such as Network Rail, Oracle, and Johnson and Johnson, in addition to a large range of SMEs.

 

  • Course Overview

    Course Overview

    From business and finance or health and medicine, to infrastructure or education, data science plays a vital role in all aspects of the modern world. Our MSc programme will ensure you have an advanced level of skills, knowledge, and experience to achieve your career aspirations.

    Studying for an MSc in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. Your study will build upon the fundamentals, and our specialist pathways will allow you to practise and enhance technical skills, while gaining professional knowledge that will support and advance your career aspirations.

    Over the year, you will explore five core Data Science modules. These will ensure you have a solid advanced grounding in the subject, to support your choice of specialism.

    You can choose from two specialisms according to your background and interests:

    • Computing
    • Statistical Inference

    In taking one of these routes, you will gain access to a range of exciting, advanced pathway-specific modules. These modules will allow you to either enhance your understanding of data science technologies; or to gain expertise in the application of data science to business intelligence, bioinformatics, population health, the environment, or the study of society. Our specialist modules will provide you with detailed, expert knowledge and will enhance your employability. This format means that you will be equipped to apply for any data science related career, while providing you with an advantage in many industries.

    In addition to these taught modules, you will also have the opportunity to undertake a 12-week placement either within industry or as part of an academic research project. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience and demonstrate a working grasp of the discipline.

    The placement project represents a substantial, independent research project. Supervised by an academic, you will develop your ability to gather and analyse data, draw valuable conclusions, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, exercise your ability to solve problems and manage a significant project. This will be great experience for you to draw upon in an interview and in your career.

    Assessment

    We offer an excellent range of learning environments, which include traditional lectures, laboratories, and workshops. We are also committed to providing timely feedback for all submitted work and projects.

    Assessment varies across modules, allowing students to demonstrate their capabilities in a range of ways, including laboratory reports, essays, exercises, literature reviews, short tests, poster sessions, oral presentations, and formal examination.

    Community

    We have a great relationship with our students and alumni, who have praised the School for its ambition, positivity and friendly atmosphere. By providing a number of support methods, accessible at any stage of your degree, we strive to give our students the best opportunity to fulfil their potential and attract the very best opportunities for a successful career. Our academics are welcoming and helpful; you will be assigned an academic advisor who can offer advice and recommended reading; and our open door policy has been a popular feature among our students. We believe in encouraging and inspiring our computing and communications scientists of the future.

    Career

    The gathering, interpretation and evaluation of data is fundamental to all aspects of modern life. As a result, data science can lead to a career in a wide range of industries. The core modules of this programme will ensure you are properly equipped to apply yourself to any data role, while your specialist pathway will enhance your opportunities in specific industries, should that be the route you wish to pursue.

    Studying at Masters level will further enhance your career prospects, opening up opportunities to progress further in your career.

    In addition, many of our Data Scientists also elect to study a PhD qualification.

    We provide careers advice and host a range of events throughout the year, including our annual careers fair, attended by exhibitors who are interested in providing placements and vacancies to computer science students and graduates. You can speak face-to-face with employers such as Network Rail, Oracle, and Johnson and Johnson, in addition to a large range of SMEs.

     

  • Course Structure

    Course Structure

    You will study a range of modules as part of your course, some examples of which are listed below.

      Core

      Optional

    Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.

  • Key Information

    Key Information

    Please email Dr Chris Edwards with general questions about this MSc.

    To discuss a specific data science specialism, please contact the relevant Programme Director:

    MSc Data Science - Statistical Inference - Dr Deborah Costain

    MSc Data Science - Computing - Dr Matthew Rowe

    Duration: 12 months.

    Entry requirements: An upper-second class honours degree, or its equivalent, in a subject relevant to Computer Science, Mathematics or Statistics

    IELTS: 6.5 or equivalent

    Assessment: Coursework and examination

    Funding: All applicants should consult our information on fees and funding.

    For further information please see our website  

       

     

  • Fees

    Fees

    Fees

    Full Time (per year) Part Time (per year)
    UK/EU £8,500 £4,250
    Overseas £19,500 n/a

    The University will not increase the Tuition Fee you are charged during the course of an academic year.

    If you are studying on a programme of more than one year's duration, the tuition fees for subsequent years of your programme are likely to increase each year. The way in which continuing students' fee rates are determined varies according to an individual's 'fee status' as set out on our fees webpages.

    What are tuition fees for?

    Studying at a UK University means that you need to pay an annual fee for your tuition, which covers the costs associated with teaching, examinations, assessment and graduation.

    The fee that you will be charged depends on whether you are considered to be a UK, EU or overseas student. Visiting students will be charged a pro-rata fee for periods of study less than a year.

    Our annual tuition fee is set for a 12 month session, which usually runs from October to September the following year.

    How does Lancaster set overseas tuition fees?

    Overseas fees, alongside all other sources of income, allow the University to maintain its abilities across the range of activities and services. Each year the University's Finance Committee consider recommendations for increases to fees proposed for all categories of student and this takes into account a range of factors including projected cost inflation for the University, comparisons against other high-quality institutions and external financial factors such as projected exchange rate movements.

    What support is available towards tuition fees?

    Lancaster University's priority is to support every student in making the most of their education. Many of our students each year will be entitled to bursaries or scholarships to help with the cost of fees and/or living expenses. You can find out more about financial support, studentships, and awards for postgraduate study on our website.

Course Structure

The Data Science MSc is structured into three distinct terms. Your path through the course has a series of options depending on both your academic background and your choice of modules.

Who can Apply?

We expect to recruit students who are interested in a career at the interface of computing, statistics and their application.

For the MSc in Data Science you should hold, or expect to obtain, a BSc in Mathematics, Statistics or Computing. People with a degree in related subjects such as Physics, Finance or Engineering may apply if you have A-Level Mathematics.

For applicants whose first language is not English, a recognised English qualification is required:

  • IELTS: 6.5 (with at least 6.0 in each skill)

Overseas students will require a visa to be able to study with us in the UK.

Fees and Funding

Fees are as follows:

  • UK and EU students: £8,500 (GBP)
  • Non-EU students: £19,500 (GBP)

For October 2018 intake, we have a small number of fee waiver scholarships meaning fees would be reduced to the following levels:

  • UK and EU students: £5,500 (GBP)
  • Non-EU students: £14,500 (GBP)

Smaller awards may be made, depending on the availability of funds. All eligible applicants will be automatically considered and those successful will be notified via email. There is no separate application process for these scholarships. Scholarships will be awarded on a rolling basis whilst funds are available.

Lancaster University offers postgraduates a range of scholarships. See here for more details.

More Information