Data Analytics – MSc

Course Overview

Take the guesswork out of decision making with the TUS Athlone part-time (online) MSc in Data Analytics.

Data Analytics is the process of examining vast quantities of data, often referred to as Big Data, in order to draw conclusions and insights about the information they contain. Some examples of Data Analytics applications include real-time fraud detection, complex competitive commercial analysis, website optimisation, intelligent air, road and other traffic management and consumer spending patterns.

Big Data presents three primary problems: there’s too much data to handle easily; the speed of data flowing in and out makes it difficult to analyse; and the range and type of data sources are too great to assimilate. With the right analytics and techniques, these big data can deliver hidden and unhidden insights, patterns and relationships from multiple sources using Data Analytics techniques.

TUS Athlone, has developed an industry-focused, contemporary masters programme that will equip graduates with the skills and aptitudes necessary to excel in the emerging field of Big Data and Data Analytics. This programme will ensure that you will be able to understand the data context, apply appropriate techniques and utilise the most relevant tools to generate insights into such data.

The programme runs over two calendar years, commencing in September, consisting of four semesters. Semesters 1, 2 and 3 will incorporate three key pillars of data analytics: Data, Tools & Techniques and Analysis. Each pillar overlaps with the other to provide a coherent and unified set of core skills in data analytics. Semester 4 will consist of a substantive research project. Classes are delivered online across two evenings a week – Monday’s 7pm-9pm and Wednesday’s 7pm-9pm.

At the core of the discipline is data. In this pillar, students will develop their skills in areas including database technologies, data manipulation languages including SQL and the R programming language. In order to understand the data, a range of techniques will be taught, including programming for Big Data, statistics and probabilities and the interpretation of data. Interwoven within these modules is the use of industry-standard data analytics software tools. The final pillar of the programme is analysis. In these modules, students will develop skills to become data-savvy practitioners, gaining insights into data from which strategic decisions can be made.

Applied Research Project: In Semester 4 of the programme, students will be required to undertake a data analytics project and associated thesis of 20,000 words.

Entry Requirements

A Level 8 or equivalent honours degree in Business, Science or Engineering, with a minimum grade of 2.2 (50%), comprising of at least 30 ECTS credits in any combination of maths, computer science or engineering. In line with institute policies, non-native English speakers are required to have an IELTS level of 6.5 or higher.

All applicants will be subject to an interview.

Course Modules

Year 1 – Semester 1 (September – December)

• Relational Databases
• Statistics for Data Analytics
• Programming for Data Analytics (Using the Python language)

Year 1 – Semester 2 (January – May)

• Data Analytics (Using the R language)
• Interpretation of Data
• Advanced Databases

Year 2 – Semester 1 (September – December)

• Advanced analytics
• Research Methods
• Data Visualisation

Year 2 – Semester 2 (January – May)

• Applied Research Project, including 20,000 word thesis

Career Opportunities

The Expert Group on Future Skills Needs report identified Data Analytics as an area of skills deficit. Given the wide range of industries in which Data Analytics can be utilised, the demand for Data Analytics graduates continues to soar.

Further Study

Upon successful completion of this programme, graduates have the opportunity to complete Level 9/10 programmes here at TUS or elsewhere.

Student Testimonials

Oliver Jennings PT MSc. graduate

“I had been searching for a flexible part-time MSc in Data Analytics that could accommodate my work and family life, while still providing a reputable qualification. The MSc in Data Analytics at Technological University of the Shannon: Midlands Midwest proved to be the perfect fit for me. This program offered the ideal balance between online learning and flexibility to manage other commitments. It ensured that I could maintain my work-life balance without compromising my educational goals.

One of the standout features of this MSc program is its well-structured curriculum. It takes you from the fundamentals to advanced topics in Data Analytics. While the initial weeks cover the basics, the course progressively challenges you with in-depth teaching and self-learning opportunities. Even for someone with prior experience in the subject, I found myself continually learning new things each week. This dynamic approach keeps you engaged and motivated throughout the program.

The quality of the lecturers was truly exceptional. They not only possessed a deep understanding of the subject matter but were also readily available to provide guidance whenever it was needed. Their expertise and support played a significant role in my learning experience.

I’ve already recommended this MSc in Data Analytics to several of my peers, and I would wholeheartedly recommend it to anyone seeking to elevate their knowledge and advance their career in the field of Data Analytics. This course has been instrumental in helping me achieve my academic and professional goals, and I am confident it can do the same for others.” (Oliver Jennings PT MSc. graduate)

Fees

€3500 (€2600 per annum for those eligible for Midlands Border East Skillnet funding)

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Degree Overview:

The MSc in Data Analytics is a part-time (online) program offered by TUS Athlone. It focuses on equipping graduates with the skills and aptitudes necessary to excel in the emerging field of Big Data and Data Analytics.

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Objectives:

• Develop skills in database technologies, data manipulation languages (SQL), and the R programming language.
• Gain proficiency in industry-standard data analytics software tools.

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Outline:

The program runs over two calendar years, commencing in September, and consists of four semesters.

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Semester 1 (September – December):

• Relational Databases
• Statistics for Data Analytics

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Semester 2 (January – May):

• Data Analytics (Using the R language)
• Interpretation of Data
• Advanced Databases

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Semester 3 (September – December):

• Advanced analytics
• Research Methods
• Data Visualisation

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Semester 4 (January – May):

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Teaching:

• Classes are delivered online across two evenings a week – Monday’s 7pm-9pm and Wednesday’s 7pm-9pm.
• The program emphasizes a practical approach, focusing on industry-standard tools and techniques.

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Careers:

• The Expert Group on Future Skills Needs report identified Data Analytics as an area of skills deficit.
• The demand for Data Analytics graduates continues to soar across various industries.

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Other:

• The program is designed to be flexible and accommodate students' work and family commitments.
• The program provides opportunities for self-learning and continuous development.
• The program is taught by experienced and knowledgeable lecturers who are readily available to provide guidance.
• Graduates have the opportunity to pursue further studies at Level 9/10 programs at TUS or other institutions.

Technological University of the Shannon (TUS)

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Overview:

Technological University of the Shannon (TUS) is a multi-campus university in Ireland, offering a wide range of undergraduate and postgraduate programs across various disciplines. It is known for its focus on applied learning and innovation, fostering strong industry ties and providing excellent employment opportunities for its graduates.

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Services Offered:

TUS provides a comprehensive range of services to its students, including:

Admissions & Support:

Admissions guidance, international student support, open days, student finance information, induction programs, and student support services.

Campus Life:

Accommodation options, career and employability services, chaplaincy and pastoral care, disability supports, learning support, student counselling, student health services, sports facilities, student union, clubs and societies.

Faculty Areas:

Business, Hospitality & Humanities, Engineering, Built Environment & Informatics, Sciences, Health & Technology, and Limerick School of Art & Design.

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Student Life and Campus Experience:

TUS prioritizes a student-first approach, offering small class sizes and personalized attention. Students can expect a vibrant campus life with a range of clubs, societies, and sports activities. The university also provides comprehensive support services to ensure a positive and enriching student experience.

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Key Reasons to Study There:

Applied Learning & Innovation:

TUS emphasizes practical skills and real-world application, preparing students for successful careers.

Strong Industry Ties:

The university has strong connections with industry partners, providing students with valuable internship and employment opportunities.

Excellent Employment Opportunities:

TUS graduates are highly sought after by employers, with a strong track record of successful career outcomes.

Vibrant Campus Life:

Students can enjoy a diverse and engaging campus experience with a range of clubs, societies, and sports activities.

Comprehensive Support Services:

TUS provides a wide range of support services to ensure students' academic and personal success.

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Academic Programs:

TUS offers a wide range of academic programs, including:

Undergraduate:

Programs in various disciplines, including business, engineering, science, technology, art, and design.

Postgraduate:

Master's and PhD programs in specialized fields.

Apprenticeships:

Programs in various trades and technical fields.

Flexible & Professional Learning:

Programs designed for working professionals.

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Other:

TUS is a QS 5 Star Rated University, recognized for its high-quality education and research. The university is also actively involved in research and development, with a focus on areas of national and global importance.