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MSc Data Science and Analytics with Advanced Research

MSc Data Science and Analytics with Advanced Research

Different course options

Full time | College Lane - Campus | 2 years | SEP-26

Study mode

Full time

Duration

2 years

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Digital Metrics / Website Analytics Data Science

Course Summary

The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in data science and analytics, extending your knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling. This MSc can lead to a career such as a data scientist. Graduates obtaining this award will be equipped to pursue research to PhD level, or to enter specialist employment in technically advanced and unpredictable working environments requiring sound judgment and the exercise of personal responsibility and initiative.Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. The MSc Data Science and Analytics with Advanced Research course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications. Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.

Modules

This module explores a range of generic and domain-specific research methods in computer science to enable students to understand such methods and apply them in their work, particularly in an advanced MSc project or a research project. The module helps students to enhance their proficiency in the skills that are expected of those working at postgraduate level. Whilst some material will be presented in lectures, tutorials and labs, the module will be largely literature- and activity-based. It will place strong emphasis on self-management and will encourage students to reflect upon, and learn from, their own work. As the module progresses students will be expected to select an increasingly large proportion of the reading matter for themselves, so that they can tailor their learning to their individual needs in which they evaluate and choose an appropriate set of research methods for the investigation of a problem in a given sub-domain of computer science, and identify the principal advantages and limitations of those methods.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£15,120

International fees
Course fees for EU and international students

For this course (per year)

£22,450

Entry requirements

For admission to MSc Data Science and Analytics with Advanced Research, the normal requirement is a good Honours Degree (or equivalent) in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.

University information

The University of Hertfordshire offers a huge variety of postgraduate courses across 19 subject areas, from creative arts to sustainable planning. It offers flexible study options to suit a student’s lifestyle, fantastic links to business, and expert guidance every step of the way. Why choose postgraduate study at Herts? Student Satisfaction: 1st in the East of England for postgraduate study (Whatuni Student Choice Awards,...more