Data Science PgCert - 2019 Entry

Entry Year
2019

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. Complete four core modules to gain a foundation set of specific skills to pursue your career aspirations in Data Science. You can study these modules either one year full-time or two years part-time.

The programme provides a foundation in statistical modelling and data analytical skills; the theories underpinning statistical modelling; programming; data mining and data science as process for gaining insight from data.

Part-time study

Part-time students are expected to complete the course over two consecutive years. You will be expected to attend lectures and practical sessions during term time of approximately 3 days per week and to engage in group projects. You are also expected to be able to attend for any examinations in the summer.

Upon successful completion of the modules you may wish to progress to a PGDip or an MSc in Data Science.

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.

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. Complete four core modules to gain a foundation set of specific skills to pursue your career aspirations in Data Science. You can study these modules either one year full-time or two years part-time.

    The programme provides a foundation in statistical modelling and data analytical skills; the theories underpinning statistical modelling; programming; data mining and data science as process for gaining insight from data.

    Part-time study

    Part-time students are expected to complete the course over two consecutive years. You will be expected to attend lectures and practical sessions during term time of approximately 3 days per week and to engage in group projects. You are also expected to be able to attend for any examinations in the summer.

    Upon successful completion of the modules you may wish to progress to a PGDip or an MSc in Data Science.

    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.

    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

    Detailed module information for this postgraduate programme will follow shortly. However, if you have any questions please contact the department.

  • Key Information

    Key Information

    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

    Fees to be announced.

    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.

  • Related Courses

Work Placements

Lancaster's Data Science programme has been developed in co-operation with industry to give our students a great start to their data science careers. Preparation for a career in data science is at the heart of Lancaster’s MSc. We have worked with a wide range of organisations to provide our students with insight and experience of real-world data science. Throughout their course our students have contact with representatives from industry through group projects on live data, company talks and skills workshops.

Dom Clarke

WWL NHS Trust
"The whole process was great, everyone at the office welcomed me with open arms and helped me with anything I wanted. I was provided total flexibility to use any methods I desired, it was really MY project. I was gifted with the reward of seeing the predictions implemented and seeing the work I had done presented and discussed in front of executives from trusts around the north-west."

Hwan Lee

AstraZeneca
"This experience was unique and valuable since it allowed me to learn from experts in academia and industry and taught me how to approach a data science project from a business perspective. The placement made me easier to be incorporated into the industry as a future data scientist by providing a clear understanding of a data scientist’s role."

Sean Sheehan

The Behavioural Insights Team
"I learned an enormous amount over course of the project as well as putting into practice and developing the technical skills and knowledge learned on the MSc course, and being able to contribute to a substantial project in this way has increased my confidence in my own ability. The experience has proved to be especially valuable in securing work after completion of the course."

Ioannis Tsalamanis

Uniper Energy
"Personally, the placement provided a transition from the academic environment to the industrial environment and gave me the opportunity to prepare for the job interviews that came afterwards. The fact that there was a short industrial placement after the MSc was highly appreciated by most of the interviewers and offered a great means of describing how my data scientist skills were applied and enhanced."

Some of the companies that have hosted Data Science students

Placement Hosts

Our students have taken their work placements in a wide range of businesses, from global corporations to local SMEs. These are just some of the places that have provided students with opportunities to gain experience in real-world data science.

Learn more

Careers and Employability

The demand for people with data science skills is predicted to double over the next five years. This rising need is reflected in the average salary for data scientists, which is now £60,000 per annum.

Designed with Industry

If you wish to pursue a career in data science need to be able to demonstrate both technical knowledge, an understanding of the role of data in modern enterprises and an ability to communicate the meaning of data. Our MSc programme has been designed in collaboration with industry to give students the opportunity both to learn the necessary skills and to use them in real-world settings through industry-hosted placements.

Career Options

Our programme opens the door to many possible careers, including:

  • Data scientist or data science consultant
  • Financial modeller
  • Clinical and pharmaceutical analyst
  • Data technologies specialist

Our alumni have gone on to data science roles at Amazon, Deloitte, Santander, Bloomberg, The Office of National Statistics, The Environment Agency and more.

Lifetime Support

As a student at Lancaster, you will gain access to our excellent careers service, offering lifetime support, help and friendly advice. We offer lifetime support, help and advice to all of our students. This includes one-to-one support and advice on work experience, employability skills and careers.

Enterprise Education

Lancaster University is committed to providing its entrepreneurial students with the support they need to launch their own enterprises. We understand that you may wish to start your own company as soon as possible. We offer you the opportunity to incorporate an Enterprise Project into your studies, instead of a work placement. You may prefer to complete your studies with a project that will form the basis of a future enterprise and we help you to develop your ideas. 

For full details of the course structure and the latest module information, click to download our latest course handbook.