Data Science & Analytics

University College Cork


Course Name Data Science & Analytics
Course Provider University College Cork
Course Code MSCDSA
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major National University of Ireland Level 9 NFQ
Apply To Course provider
Attendance Options Full time, Daytime
Location (Districts) Cork City
Qualification Letters MSc
Enrolment and Start Dates Comment Start Date: 12 September 2022.
Application Date

Expand+Closing Date: Check out

Open for EU applications, check rounds closing dates under
How to Apply - Application Date Weblink below.

How Do I Apply
1. Choose Course
Firstly choose your cours...

Application Date Weblink Web Page - Click Here
Application Weblink Web Page - Click Here
Duration 1 year Full Time

Course Practicalities
A typical 5-credit module entails:

2 lecture hours per week;
1–2 hours of practicals per week;
and outside of these regular hours, students are required to study independently by reading and by working in the laboratories and on exercises.
Course Fee

Expand+Fees and Costs
The EU fee for this course is €7,130.
The Non-EU fee for this course is €18,500.

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

EU student fee pa...

Link to Course Fee Web Page - Click Here
Entry Requirements

Candidates must have:
1. Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) in computer science or mathematical sciences or
2. Second Class Honours Grade I in a primary honours degree (NFQ, Level 8) with a strong ...

Interview Yes
Comment 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.
Course Content

Expand+Course Outline
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. The combin...

Subjects Taught

Expand+PART I (60 credits)
Core Modules (30 credits)
• CS6405 Datamining (5 credits)
• CS6421 Deep Learning (5 credits)
• ST6030 Foundations of Statistical Data Analytics (10 credits)
• ST6033 Generalised Linear Modelling Techniques (5 credi...

Careers or Further Progression

Expand+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...

Further Enquiries Dr Ahmed Zahran
t: +353 21 420 5384

Dr Eric Wolsztynski
t: +353 (0)21 420 5823
Course Web Page Web Page - Click Here
International Students Web Page - Click Here