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MSc Information Science (Data Analytics) (with Advanced Practice)

MSc Information Science (Data Analytics) (with Advanced Practice)

Different course options

Study mode

Full time

Duration

2 years

Start date

25-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type

Taught

Course Summary

Course Overview

Are you looking for a Masters-level qualification that will open doors to jobs and promotions in the field of data analytics? This two year master’s course combines core modules in information science with specialised modules in Database Modelling as well as Statistics and Business Intelligence.

As part of the focus on data analytics, you will cover topics such as how to design and manipulate databases with relational algebra and SQL. You will also analyse (big) data in order to improve organisational decision-making, using techniques such as regression analysis, clustering, distance measures, probability and distributions.

In the second year, for one semester, you will have the chance to study in another country or join a research group. This valuable experience will enhance your employability and further develop your theoretical and practical skills.

Research

If you take this option, you will be assigned to our Computer Science and Informatics Research Group. There is every possibility that you may contribute to published research and therefore you may be named as part of the research team, which would be a great start to a research career.

Study Abroad

We have exchange agreements with universities all over the world, including partners in Europe, Asia, the Americas and Oceania. If you take the Study Abroad option you will spend a semester at one of these partners, continuing your studies in English but in a new cultural and learning environment. Please note that this option may require you to obtain a visa for study in the other country.

Your Future

This course is accredited by the Chartered Institute of Library and Information Professionals. This reflects the relevance of the curriculum, which is informed by contact with employers and close professional links.

The topics and activities in the course have a strong emphasis on employability. For example you will develop skills in how to analyse, monitor and evaluate user behaviour. You will also learn how to evaluate and use a range of appropriate technologies for solving problems and supporting decision-making in organisations. Your knowledge and practical skills will help you take a lead on research-informed approaches that give organisations and professionals a valuable advantage.
The Advanced Practice semester will help you develop a track record of achievement that will help you stand out from other job applicants.

A two-year master’s course, like this one, will carry particular weight with employers. They will understand that you have a deeper understanding of topics as well as more hands-on practical experience.

Data analytics is firmly in the spotlight due to transformations in information science and the emergence of big data. As we look to the future, which will be marked by ever greater capabilities for data processing, and a rising expectation that major decisions should be based on data-driven insights, data analytics will become increasingly valued and rewarded.

On graduation, you will be well placed to take advantage of this trend. Employers are looking for information professionals who can develop new insights through mastery of their subject and critical scholarship. With your Masters qualification, you will be equipped to make a difference, advance your practice and make well-balanced judgements.

You could work for a wide range of employers in the field of data analytics or you could consider freelance roles as a consultant. Your master's qualification can also form the basis for further postgraduate studies at a higher level.

Modules

You will understand the conceptual basis for current database technology and will be able to apply such knowledge in implementing database applications. You will be able to understand data modelling through the example of the relational model; be able to design and manipulate relational databases with relational algebra and SQL; normalise relational data structures. You will appreciate limitations of data models and the need for database programming to achieve complete solutions, write transactions and procedures for relational databases, specify security for operations, and apply business rules.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£6,480

International fees
Course fees for EU and international students

For this course (per year)

£11,000

Entry requirements

Applicants should normally have: A minimum of a 2:2 honours degree in any subject. Other subject qualifications, equivalent professional qualifications and/or relevant work experience will be considered on an individual basis.

University information

Northumbria is an innovative and pioneering university with a mission to ‘Take on Tomorrow’. Through cultivating the next generation of visionaries and innovators, Northumbria empowers students to challenge the status quo and tackle tomorrow’s challenges head on. Northumbria is a research-rich, business-focused university with a keen focus on professional practice and a global reputation for academic excellence. It is also renowned for its...more