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Data Science and Statistical Learning - MSc

The course modules have been carefully developed with a focus on statistics and computing to assist students in developing skills in statistical modelling, data visualisation and interpretation, database management, statistical programming, network analysis and predictive algorithms. Students are also provided with an opportunity to specialise in more applied elements of data science through the undertaking of a research project and dissertation. The objectives of the course are:

To enable graduates of quantitative disciplines to redirect their training towards the rapidly growing field of data science.
To provide students with a fundamental grounding in the key skills of data science including; data manipulation, data interrogation and visualisation, statistical modelling, and scientific computation.
To provide students with technical research and presentation experience, through the undertaking of a research project and writing of an MSc dissertation.

Campus Information

Sreelane

The UL campus is truly one of the most beautiful university campuses anywhere in the world. Visitors never fail to be impressed by this peaceful green place with its trees, its fountains and the beautiful river Shannon flowing majestically through it all.

Intakes

Application Processing Time in Days: 20

Application Process

Payment

Days

Confirmation from the University

10 Days

Visa Processing

20 Days

Minimum English Language Requirements

English Level Description	IELTS (1.0 -9.0)	TOEFL IBT (0-120)	TOEFL CBT (0-300)	PTE (10-90)
Expert	9	120	297-300	86-90
Very Good	8.5	115-119	280-293	83-86
Very Good	8	110-114	270-280	79-83
Good	7.5	102-109	253-267	73-79
Good	7	94-101	240-253	65-73
Competent	6.5	79-93	213-233	58-65
Competent	6	60-78	170-210	50-58
Modest	5.5	46-59	133-210	43-50
Modest	5	35-45	107-133	36-43
Limited	4	32-34	97-103	30-36
Extremely Limited	< 4	< 31	< 93	< 30

Job Opportunity Potential

Data science skills are some of the most highly sought after by employers both nationally and internationally. There is a rapidly increasing demand for individuals with strong proficiencies in data analysis and scientific computation. Examples of potential fields of employment (and employers) include:

ICT (e.g. Apple, Facebook, Google, Linkedin, Microsoft, Tenable, TikTok);
Financial services and management consulting (e.g. Accenture, AIB, Aon, Bank of Ireland, Deloitte, EY, KPMG, PWC, Zurich);
Manufacturing and pharmaceuticals (e.g. Abbott, Eli Lilly, Glanbia, Johnson & Johnson, Regeneron);
Research and development roles in a wide variety of applied fields, as well as strengthening applicant candidacy for application to PhD programmes.

Admission Requirement / Eligibility Criteria

FOR INDIA

A four-year Bachelor Degree or three-year honours Bachelor Degree in a relevant discipline from a recognised university. First-division results are normally required with a minimum overall grade of between 55-70%* depending on the programme applied for.
Some programmes may require an interview and/or work experience.
A full transcripts/full marks sheets of each semester is required. A consolidated marks sheet is not sufficient as a standalone document.
English language requirements.
CV, references, portfolio, letter of introduction.

Some programmes may have higher entry requirements and/or a portfolio requirement and not all applicants who meet the minimum grades will be offered a place.

For More Information Please Contact To Our PSA Counselor.

University of Limerick

Limerick , Limerick ,Ireland