Program Overview
The UCD MSc Statistical Data Science program trains students in fundamental statistics, machine learning, and data programming to equip them for careers as data scientists in industry or academia. The program offers a comprehensive education that covers data science, computing, fundamental theory, and communication, with ample opportunities for practical applications through real-world problem-solving and a final dissertation project. Graduates possess advanced statistical reasoning skills and are highly sought after in various industries and research institutions.
Program Outline
Degree Overview:
The UCD MSc Statistical Data Science is a graduate-level program designed to train the next generation of data scientists. It equips students with a comprehensive range of foundational and applied skills in statistics and machine learning. The program is aimed at students holding an undergraduate degree in statistics or a related numerate field, such as economics, finance, mathematics, physics, engineering, or computer science. The MSc Statistical Data Science is ideal for students seeking careers in data science within industry, business, government, or those interested in pursuing a PhD in statistics or related fields. The program focuses on developing students' abilities to design, utilize, and interpret various statistical modeling tools, blending fundamental statistical theory with modern computational techniques.
Outline:
The program is structured around several thematic areas:
- Data Science: Students will tackle real-world problems using advanced techniques common in statistics and machine learning. Examples of modules include Statistical Machine Learning, Data Mining, and Advanced Predictive Analytics.
- Computing: Students will learn to design and implement efficient algorithms using data science programming languages and software widely used in industry and research. Examples of modules include Data Programming, Optimization, and Machine Learning with Python.
- Fundamental Theory: Students will delve into the fundamental aspects of mathematical statistics and learn how it is applied in data science to develop new methods and concepts. Examples of modules include Mathematical Statistics, Multivariate Analysis, and Stochastic Models.
- Communication: Students will learn to study and interpret statistical analyses and effectively communicate their conclusions. Examples of modules include Technical Communication, Applied Statistical Modelling, and Dissertation. Students have the flexibility to choose modules from a wide range of statistics topics.
Teaching:
The program emphasizes a teaching and learning environment that fosters confidence and independence through interactive formats, both inside and outside the classroom. The program aims to train students to become autonomous learners and researchers capable of setting their own research agenda.
Careers:
Upon completion of the MSc Statistical Data Science, graduates will possess in-depth understanding of statistical concepts, advanced statistical reasoning, techniques, and models for real data analysis, and technical computing skills. Career opportunities exist in various industries, including pharmaceutical companies, banking, finance, government departments, risk management, and the IT sector. Some graduates pursue careers in academia by pursuing a PhD. Graduates are currently employed by companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta, and Eaton. The program aims to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom.
MSc Statistical Data Science (T387)
- Full Time
EU:
fee per year - € 9300 Please note that UCD offers a number of graduate scholarships for full-time, self-funding international students, holding an offer of a place on a UCD graduate degree programme.
University College Dublin
Overview:
University College Dublin (UCD) is a leading research-intensive university located in Dublin, Ireland. It is known for its commitment to academic excellence, innovation, and global engagement. UCD offers a wide range of undergraduate and postgraduate programs across various disciplines.
Student Life and Campus Experience:
UCD provides a vibrant and diverse campus experience for its students. The university emphasizes the holistic development of its students, offering a range of opportunities for personal and professional growth.
Key Reasons to Study There:
Research Excellence:
UCD is renowned for its strong research output and collaborations with industry partners.Global Partnerships:
The university boasts a vast network of partner institutions worldwide, providing students with opportunities for international study and exchange.Transformational Learning:
UCD focuses on providing a transformative learning experience that fosters critical thinking, problem-solving, and leadership skills.Other:
UCD is actively involved in promoting sustainability and social responsibility. The university is committed to creating a positive impact on society through its research, teaching, and engagement activities.
Entry Requirements:
- Academic Requirements:
- EU Home Students: Applicants must hold a degree in Statistics or a cognate subject area. An upper second class honours, or international equivalent is required.
- International (Non-EEA) Students: Applicants must hold a degree in Statistics or a cognate subject area. An upper second class honours, or international equivalent is required.
- Higher Diploma in Statistics: Those who have been awarded an upper second class honours or higher in the Higher Diploma in Statistics are eligible for the programme.
- MA in Statistics: Students may qualify for enrolment for the four semester MA in Statistics which brings them to the same level as the MSc in Statistical Data Science.
Language Proficiency Requirements:
- Applicants whose first language is not English: Must demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
- Pre-Sessional or International Pre-Master's Pathway Programmes: Students meeting the programme’s academic entry requirements but not the English language requirements, may enter the programme upon successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes.