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Data Science & Analytics

The MSc in Data Science & Analytics, jointly offered by the Department of Computer Science and the Department of Statistics, provides an education in the key principles of this rapidly expanding area. The combination of sophisticated computing and statistics modules will develop skills in database management, programming, summarisation, modelling and interpretation of data. The programme provides graduates with an opportunity, through development of a research project, to investigate the more applied elements of the disciplines.

For further information see our brochure at: http://www.ucc.ie/en/media/academic/computerscience/documents/pdfdocumen...

Entry requirements

Candidates must have:
1.obtained either a second class honours level 8 primary degree (or equivalent) in computer science or mathematical sciences or

2.a second class honours level 8 primary degree (or equivalent) 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 2H2 in appropriate modules.

Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or > Level 8) and a minimum of 5 years verifiable relevant industrial experience.

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

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

Candidates, for whom English is not their primary language, should possess an IELTS score of 6.5, with no individual section lower than 6.0.

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.

If you are applying with Qualifications obtained outside Ireland and you wish to verify if you meet the minimum academic and English language requirements for this programme please click here to view the grades comparison table by country and for details of recognised English language tests.

Duration

1 year Full Time

Careers or further progression

Skills and Careers Information
This programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. 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.

Companies actively recruiting Computer Science graduates in 2016-17 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

Starting Salaries
There is an increasing demand for graduates that can collate, interpret, manage and store large volumes of data. Graduates can be employed as analysts, database administrators, data warehouse consultants, business intelligent consultants to name but a few. Employment agencies report typical salaries ranging from €35,000-70,000 depending on industry and experience.

Further enquiries

Professor Gregory Provan,
Department of Computer Science
E: g.provan@cs.ucc.ie
T: +353 (0)21 4905928

Dr Michael Cronin,
Department of Statistics
E: M.cronin@ucc.ie
T: +353 (0)21 420 5825

Subjects taught

Programme Structure:

Students must attain 90 credits through a combination of:
Core Modules (30 credits)
Elective Modules (30 credits)
Dissertation (30 credits)

Students take 90 credits as follows:

Part 1 (60 credits)

Core Modules (30 credits) - All selections are subject to approval of the Programme Co-ordinator

CS6405 Data Mining (5 credits) - Dr. Marc Van Dongen
ST6030 Foundations of Statistical Data Analytics (10 credits)
ST6033 Generalised Linear Modelling Techniques (5 credits)

Database Modules
Students who have adequate database experience take:

CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen

Students who have not studied databases take:

CS6503 Introduction to Relational Databases (5 credits)
CS6505 Database Design and Administration (5 credits)

Elective Modules (30 credits) - All selections are subject to approval of the Programme Co-ordinator
Students must take at least 10 credits of CS (Computer Science) modules and at least 10 credits of ST (Statistics) modules from those listed below:

CS6322 Optimisation (5 credits) - Dr. Steve Prestwich
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6509 Internet Computing for Data Science (5 credits)
ST6032 Stochastic Modelling Techniques (5 credits)
ST6034 Multivariate Methods for Data Analysis (10 credits)
ST6035 Operations Research (5 credits)
ST6036 Stochastic Decision Science (5 credits)

Programming Modules
Students who have adequate programming experience take:

CS6406 Large-Scale Application Development and Integration l (5 credits) - Professor Gregory Provan
CS4607 Large-Scale Application Development and Integration ll (5 credits) - Professor Gregory Provan

Students who have not studied programming take:

CS6506 Programming in Python (5 credits)
CS6507 Programme in Python with Data Science and Applications (5 credits) - Dr. Kieran Herley

Part 2 (30 credits)
Students select one of the following modules:

CS6500 Dissertation in Data Analytics (30 credits)
ST6090 Dissertation in Data Analytics (30 credits)

Comment

Unique Aspects of this course
The MSc in Data Science and Analytics is a significant collaboration between the Departments of Computer Science and Statistics; designed to provide graduates with the skills and knowledge required to help companies and public bodies deal with ever increasing and complex data. The programme emphasises the application of Computer Science and Statistics methodologies helping transform data into useful information that can support decision making.

Course Practicalities
A typical 5 credit module:
◾2 lecture hours per week
◾1–2 hours of practicals per week
◾Outside these regular hours students are required to study independently by reading and by working in the laboratories and on exercises.

Assessment method

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2016 Book and for each module in the Book of Modules 2016/2017.

Postgraduate Diploma in Data Science and Analytics
Students who pass each of the taught modules may opt to exit the programme and be conferred with a Postgraduate Diploma in Data Science and Analytics.

Application date

Applications for 2017-18 intake are now open.

While UCC operates a rounds system for Postgraduate Taught courses (detailed below) we would advise you to apply as soon as possible.

Deadline for receipt of Applications: Offers will be made:

For all completed applications received by January 16th 2017 Offers will be made by January 30th 2017

For all completed applications received by March 1st 2017 Offers will be made by March 15th 2017

For all completed applications received by May 1st 2017 Offers will be made by May 15th 2017

For all completed applications received by July 3rd 2017 Offers will be made by July 17th 2017

Late applications may be accepted on a first-come, first-served basis for any courses that have remaining capacity for places.

Non-EU Applicants:

Please visit the following page for further information for Non EU applicants http://www.ucc.ie/en/international/studyatucc/postgraduateprogrammes/tau...

Course fee

2017/2018 Irish/EU €7,000

Enrolment and start dates

Next Intake: 11th September 2017

Remember to mention gradireland when contacting institutions!