MSc Statistics

Program Overview

The MSc Statistical Data Science program equips graduates with advanced statistical knowledge and skills for careers in the high-demand field of data science. Emphasizing both theoretical and applied statistics, the program prepares students to analyze, interpret, and communicate statistical data effectively. Graduates can pursue careers as research data scientists, data analysts, and data engineers in various industries, including pharmaceutical, finance, and technology.

Program Outline

Degree Overview:

• Program Name: MSc Statistics (T020) - Renamed to MSc Statistical Data Science (T387)
• Program Level: Graduate Taught (level 9 NQF, credits 90)
• Program Description: The MSc Statistics program is designed for students with an undergraduate degree in statistics or a related field.
It provides a comprehensive understanding of statistics and its role in data science. The program emphasizes both applied and theoretical statistics, preparing students for careers in industry or academia.
• Program Objectives:
• Develop analytical, precise, and rigorous approaches to data science problems.
• Gain in-depth knowledge of key skills required by statisticians and data scientists, including data collection methods, statistical method development, analysis of statistical output, and communication of results.
• Demonstrate proficiency in computational methods, including computer programming and scientific visualization.
• Deliver oral presentations of technical mathematical material.
• Model real-world problems using a statistical framework.
• Prepare written reports on technical statistical content.
• Conduct research using statistical research skills.
• Apply logical reasoning and deduction.
• Work independently and pursue a research agenda.
• Program Values:
• Motivates students to find underlying causes and reasons for observations and patterns.
• Provides a teaching and learning environment that fosters confidence and independence through interactive formats.

Careers:

• Career Prospects: Graduates typically pursue careers related to data science as research data scientists, data analysts, and data engineers.
• Industry Demand: High demand for data scientists exists in various industries, including pharmaceutical companies, banking, finance, government departments, risk management, and the IT sector.
• Academic Opportunities: Some graduates pursue PhDs in statistics, data science, or related fields.
• Notable Employers: Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta, and Eaton.

Other:

• Program Availability: Full-time and part-time options are available.
• Program Duration: 1 year (full-time) / 2 years (part-time)
• Mode of Delivery: Face-to-face
• Next Intake: 2024/2025 September
• Contact Information:
• Related Programs:
• MSc Actuarial Science
• MA Statistics
• MSc Data Analytics
• PTHDip Statistics
• Graduate Certificate Statistics
• HDip Statistics

EU Fees

• Full Time: €9300 per year
• Part Time: €5040 per year

Non EU Fees

• Full Time: €22530 per year
• Part Time: €14550 per year