Data Science & Analytics - Cork Campus

Course summary
The importance of the field of Data Science has exploded in recent years with a growing demand for experts in a variety of different industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis. Consequently, data science and analytics has become a core component of both government bodies and private industry wishing to maintain competitiveness and gain advantages. The Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) in MTU Cork is a collaboration between the Department of Mathematics and the Department of Computer Science. The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation.

AIM
The importance of the field of Data Science has exploded in recent years with a growing demand for experts in a variety of different industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis. Consequently, data science and analytics has become a core component of both government bodies and private industry wishing to maintain competitiveness and gain advantages.

The Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) in MTU Cork is a collaboration between the Department of Mathematics and the Department of Computer Science. The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation.

This is a 60 credit programme, in which three core strands: Data Science, Statistics, and Computer Science, are developed over two semesters with an increasing specialisation on statistical analysis and machine learning. There will be significant opportunity throughout to apply theoretical knowledge and develop problem solving skills through practical and laboratory sessions. The learner will also undertake a capstone project, which will be a key opportunity to demonstrate the ability to synthesise the learning acquired in the programme, and to apply it to the solution of an authentic problem in Data Science and Analytics.

The graduate will gain significant practical experience, in software packages and programming languages including R, Python, Excel, SQL, NoSQL, Tableau, Spark and Hadoop for example.

Entry requirements

Applicants will already hold a primary degree, and must be highly motivated, interested in data science and capable of independent learning. Preference will be given to applicants with a background in cognate and analytical disciplines, who would benefit from an opportunity to gain expertise in ICT (data science) skills which are particularly relevant to industry.

All candidates with a Level 8 qualification or equivalent will be considered. Candidates with a Level 7 qualification and significant relevant experiential learning may be eligible through our recognition of prior learning processes. Please see www.cit.ie/rpl for further details.

Subjects taught

MTU Cork has developed a website which gives full details of all modules for all courses. The website also has information on recommended textbooks, average weekly workload, assessments and exams.

For detailed module information go to https://courses.cit.ie/index.cfm/page/course/courseId/index.cfm/page/course/code/CR_SDAAN_8

Credits

60

Duration

1 Year Full-time
2 Years Part-time

CONTACT HOURS (PART-TIME)
For the first three semesters, the programme will be delivered on campus in CIT Bishopstown, on three evenings per week, with one 5 credit module running per evening. In the fourth and final semester, the learner shall complete a 10 credit capstone project and shall take one taught 5 credit module. The number of contact hours per evening is 3-4 hours (6pm-10pm or 7pm-10pm, depending on the module).

NB: for each 5 credit module, the average learner workload also involves 3-4 hours for independent learning (review of module material, preparation for assessments, completion of assignments, etc.)

In summary, over the four semesters, the student should expect to commit an average of 21 hours per week to the programme, to include contact hours (lectures/labs/tutorials) and independent study.

Fees

Fees: €350 per 5 credit module, and €700 for the 10 credit project module. These fees include examination fees. Thus the total fee for the full 60 credit programme is €4,200.

Students pay for the relevant modules at the start of each semester.

Enrolment dates

Course commencing September 2020.

More details
  • Qualification letters

    HDip

  • Qualifications

    Higher Diploma (Level 8 NFQ)

  • Attendance type

    Part time

  • Apply to

    Course provider