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University College Cork - UCC
University College Cork - UCC
Course Code
MSCDSA
Zone
Attendence
Full time

Course Summary

Our MSc in Data Science & Analytics, jointly offered by the School of Computer Science and Information Technology and the Department of Statistics, provides an education in the key principles of this rapidly expanding area.

College Link

University College Cork - UCC
College Link > MSCDSA - Data Science & Analytics

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

Candidates must have:

Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) in computer science or mathematical sciences or
Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). In such cases, the programme team must be satisfied that the numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a Second Class Honours Grade II in appropriate modules.
Applicants who do not meet the above standard entry requirements will also be considered under Recognition of Prior Learning (RPL) if they have an undergraduate degree (NFQ, Level 8) and a minimum of 5 years of verifiable relevant industrial experience.

Applicants who do not have a primary degree will only be considered with a minimum of 10 years of verifiable relevant industrial experience.

Candidates from Grandes Écoles Colleges are also eligible to apply if they are studying a cognate discipline in an ENSEA or EFREI Graduate School and are eligible to enter the final year (M2) of their programme.

Shortlisted applicants who do not meet the standard entry requirements will be invited for an interview.

Non EU applicants, who are required to present an English language proficiency test, must present the certificate on submission of initial application in order for the application to be considered.

Application Details

Closing Date
Rolling deadline. Open until all places have been filled. Early application is advised.

Start Date 9 September 2024

Apply Here

Fees

The EU fee for this course is €7,130.

The Non-EU fee for this course is €18,900.

Deposits
If your course required a deposit, that figure will be deducted from your second semester fee payment in January.

EU student fee payment
Fees for EU students are payable in two equal instalments. First payment is at registration in August and the second in January.

International student fee payment
International Students can pay in two equal instalments once they have paid the appropriate deposit. The initial payment is due on registration and the balance usually by the end of January.

How can I pay?
You can pay by Credit/Debit card online or by credit transfer.

Questions?
If you have any questions on fee payment email our Fees Office at [email protected].

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.

Career Progression

Skills and Careers Information
Our MSc programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. Our graduates will design, compare and select appropriate data analytic techniques, using software tools for data storage/management and analysis, machine learning, as well as probabilistic and statistical methods. Such abilities are at the core of companies that constantly face the need to deal with large data sets.

Companies currently seeking graduates with data analytics skills include: firms specialising in analytics, financial services and consulting, or governmental agencies.

Duration

1 year Full Time

College Profile

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