Data Science & Analytics

University College Cork


Course Name Data Science & Analytics
Course Provider University College Cork
Course Code CKR49
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 PAC
Attendance Options Full time, Daytime
Location (Districts) Cork City
Qualification Letters MSc
Enrolment and Start Dates Comment Start Date 7 September 2020
Application Date

Expand+Applications for academic year 2020/2021 are open.

EU Applicants: UCC operates a rounds closing date system for the majority of postgraduate taught courses, which means offers are made four times a year on a rolling basis. Some courses have one s...

Application Date Weblink Web Page - Click Here
PAC Application Information

Expand+How Do I Apply
1. Choose Course
Firstly choose your course. Applicants can apply for up to three courses under one application. Details of taught courses are available on our online prospectus.

2. Apply Online
Once you have chosen your course y...

Application Weblink Web Page - Click Here
Duration 1 year Full Time
Link to Course Fee Web Page - Click Here
Entry Requirements

Candidates must have:
1.Obtained either a honours level 8 primary degree (minium 2H1 honours or equivalent) in computer science or mathematical sciences or honours level 8 primary degree (minium 2H1 honours or equivalent) with ...


Expand+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...

Course Content

Expand+Course Outline
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 ...

Subjects Taught

Expand+PART 1 (60 credits)
Core Modules (30 credits)
CS6405 Data Mining (5 credits) – Dr Alejandro Arbelaez, Semester 2
CS6421 Deep Learning (5 credits) – Prof Gregory Provan, Semester 2
ST6030 Foundations of Statistical Data Analytics (10 credits) ...

Careers or Further Progression

Expand+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 ...

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