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Business Analytics (MSc)

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Bill Schmarzo - CTO of Hitachi Vantara Denis Dennehy - Programme Director Bill Schmarzo - CTO of Hitachi Vantara Bill Schmarzo - CTO of Hitachi Vantara Bill Schmarzo - CTO of Hitachi Vantara Bill Schmarzo - CTO of Hitachi Vantara Bill Schmarzo - CTO of Hitachi Vantara

Course Overview

**No longer accepting applications for 18/19 intake**

The SAP accredited MSc. in Business Analytics provides students with the skills and knowledge to manage and develop business analytics within organisations. The programme is designed as a specialist course, which assists students in blending their existing talents with the technological skills and business knowledge needed to use and manage big data and business analytics in modern knowledge-based organisations.

The programme is a taught Masters programme and consists of lectures, workshops, guest lectures from industry experts, and hands-on technology tutorials. Modules are assessed via continuous assessment, written assignments, applied projects and written examinations. 

Programme Learning Outcomes

Upon completion of the MSc Business Analytics, students will have acquired industry-standard skills and in-depth knowledge to: 

1) Understand and be able to use specific IT which is used in developing business analytics.

2) Analyse and solve business problems using applied data analytics tools and techniques.

3) Understand and apply techniques for managing Information Technology in organisations.

4) Identify, analyse and solve applied problems in individual and team-based settings.

5) Apply effective decision making to global business problems.

**Business Analytics Brochure**

Click here to view Business Analytics brochure.

Business Analytics Class 2017/18

Business Analytics Class of 2017-18‌ 

Quick Facts - Class of 2017/18

Quick Facts

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Applications and Selections

Applications are made online via The Postgraduate Applications Centre (PAC). Relevant PAC application code(s) above.


Who Teaches this Course

Requirements and Assessment

Semester One exams: December.

Semester Two exams: April/ May.

A range of assessment methods are integrated and assessed throughout the programme. These include projects, reports, presentations, and case studies.

Key Facts

Entry Requirements

Applicants should normally hold a qualification from a university or other internationally recognised academic institution or authority, corresponding to Level 8 of the Irish National Framework of Qualifications (NFQ), to a minimum standard of Second Class Honours (or equivalent). The qualification must include an element of quantitative techniques, for example, graduates of Business Studies, Engineering, Computer Science, other Sciences, Mathematics or other courses that have some quantitative content.

Additional Requirements

Duration

1 year, full-time

Next start date

September 2018

A Level Grades ()

Average intake

35

Closing Date

Please refer to the offer rounds/closing date webpage.

Next start date

September 2018

NFQ level

9

Mode of study

Taught

ECTS weighting

90

Award

Masters

CAO

PAC code

GYC36

Course Outline

The MSc. Business Analytics consists of 90 ECTS (European Credit Transfer and Accumulation System). All modules are worth 5 ECTS, with the exception of MS5109 Business Intelligence with SAP Business (10 ECTS) and MS5103 Business Analytics Project (20 ECTs).

Semester I

MSc (Business Analytics) Provisional Timetable, Sem I *Tutorials not included.

  • MS805: Database Systems

  • MS806: Business Applications Programming
  • MS5104: Decision Theory & Analysis

  • MS5105: Statistical Techniques for Business Analytics
  • MS5107: Business Modelling & Analytics

Elective Modules (choose one)

  • MG557: Strategic Management

  •  MS804: Systems Development & Project Management

Semester II

MSc (Business Analytics) Provisional Timetable 2017/18. Sem II *Tutorials not included.

  • MS802: Information Systems Strategy and Innovation
  • MS809: Enterprise Systems

  • MS810: Information Systems Security & Ethics
  • MS810: Advanced Applications Programming
  • MS5106: Data Science & Big Data Analytics
  • MS5108: Applied Customer Analytics
  • MS5109: Business Intelligence with SAP Business
  • MS5103: Business Analytics Project (Group Project)

Career Develop & Student Support

Students are encouraged to actively avail of the career and personal support services that is provided as part of the MSc Business Analytics programme and the wider university.

Workshops tailored for business analytics students in 2017-18 include:

  • Masterclass talks - Representatives from companies including Pramerica, AIB, An Garda Síochána (Irish police service), and the Analytics Institute of Ireland discussed the benefits/challenges of embedding analytics in an organisation and the importance of management skills.
  • Cross-cultural communication skills workshop (Accredited and facilitated by the Irish Council for International Students).
  • Navigating graduate recruitment in Ireland.
  • CV writing and interview preparation.
  • Building a professional online profile using Twitter and LinkedIn.
  • A dedicated student support advisor for business school students.
  • Employer and career events organised by the NUIG Careers Office throughout the year.

Curriculum Information

Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.

Glossary of Terms

Credits
You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
Module
An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics. Each module has a unique module code eg. MA140.
Optional
A module you may choose to study.
Required
A module that you must study if you choose this course (or subject).
Semester
Most courses have 2 semesters (aka terms) per year.

Year 1 (90 Credits)

Required MS806: Business Applications Programming


Semester 1 | Credits: 5


(Language of instruction: English)

Learning Outcomes
  1. Describe the process of software application development
  2. Plan, create, improve and deploy business-focused software applications using Visual Basic
  3. Demonstrate knowledge of business application development
  4. Manage self-directed work for software development
  5. Create and present (in written form) solutions to single-person assignments
Assessments
  • Written Assessment (100%)
Teachers
Reading List
  1. "Programming in Visual Basic 2010" by Julia Case Bradley,Anita C. Millspaugh
    ISBN: 9780071314213.
    Publisher: McGraw-Hill Europe
The above information outlines module MS806: "Business Applications Programming" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS805: Database Systems


Semester 1 | Credits: 5

Learning Outcomes
  1. Use data modelling techniques (e.g. entity-relationship diagrams, UML class diagrams) to represent information about related objects;
  2. Convert a logical data model into a relational database schema
  3. Apply the technique of “normalisation” to create and/or refine a relational database schema;
  4. Explain the various aspects of “data integrity” and how those aspects are implemented in a relational database management system (RDBMS);
  5. Explain how transaction management is handled in a RDBMS;
  6. Use the Structured Query Language (SQL) to create a relational database, including tables, views, and user privileges;
  7. Apply principles of set theory and computational logic to specify query definitions in SQL
  8. Use SQL to create, retrieve, modify, delete and manipulate data in a relational database;
  9. Discuss new and emerging topics in the field of database technologies.
Assessments
  • Written Assessment (100%)
Teachers
The above information outlines module MS805: "Database Systems" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5109: Business Analytics with SAP


Trimester 3 | Credits: 10

This SAP certification course verifies the knowledge in the area of the SAP analytics solution. This certificate builds on the basic knowledge gained by a BI Consultant and preferably refined by practical experience within a BI team and the Consultant can implement this knowledge of the specialist areas practically in projects.
(Language of instruction: English)

Learning Outcomes
  1. Ability to acquire and prepare data in SAP BW
  2. Ability to query data and design in SAP BW
  3. Ability to optimise query performance in SAP BW
  4. Develop SAP BW data models and data structures
  5. Reflect upon and critique SAP analytics
Assessments
  • Continuous Assessment (100%)
Teachers
The above information outlines module MS5109: "Business Analytics with SAP" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5107: Business Modelling and Analytics


Semester 1 | Credits: 5

The objective of this module is to develop students understanding of the role of business analytics in decision making and equip them with solutions used to create scenarios, understand realities, and predict future states. The module focuses on three types of business analytics: descriptive analytics used to gain insight from historical data; predictive analytics used to forecast future business performance; and prescriptive analytics used to recommend decisions using optimisation, simulation etc. Topics use real business cases to illustrate the application and interpretation of these methods.
(Language of instruction: English)

Learning Outcomes
  1. Demonstrate knowledge of the role of business analytics in a modern business intelligence environment
  2. Display a clear understanding of the BA modelling stages and apply them in practice
  3. Demonstrate theoretical knowledge in areas, such as math modelling, operations research, machine learning, data mining, etc
  4. Perform data processing and analysis for the purposes of BA.
  5. Demonstrate skills in using MS Excel Solver to build optimisation models of business cases and interpret results.
  6. Apply advanced tools such as Analytic Solver Platform and XLMiner in order to build various business models and explain what is happening, by the means of data analysis, and what will happen next by the means of predictive models.
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Teachers
Reading List
  1. "Data Mining for Business Intelligence" by Galit Shmueli,Nitin R. Patel,Peter C. Bruce
    ISBN: 9780470526828.
    Publisher: Wiley
  2. "Business Intelligence and Analytics" by Ramesh Sharda,Dursun Delen,Efraim Turban,J. E. Aronson,Ting-Peng Liang
    ISBN: 0133050904.
    Publisher: Pearson Higher Ed
The above information outlines module MS5107: "Business Modelling and Analytics" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5105: Statistical Techniques for Business Analytics


Semester 1 | Credits: 5

The objectives of this course are to build the knowledge and skills required to apply quantitative techniques to analyse business data, and interpret and present results from such analyses. Topics may include: descriptive analysis; visualisation and charting; how to work with various data types and how they relate to statistical tests; how to know what analytical tests to run; how to read data output; how to interpret and report results; business data correlations, regression; t-tests and various analyses of variance methods; factor analysis; parametric and non-parametric analyses; other statistical techniques for business analytics.
(Language of instruction: English)

Learning Outcomes
  1. Select and apply appropriate charting techniques to complex data
  2. Apply analytical rubrics based on quantitative data types to identify suitable analytical techniques
  3. Choose appropriate statistical analyses
  4. Apply appropriate statistical techniques to analyse quantitative data
  5. Interpret and present (in written form) results from quantitative analyses
Assessments
  • Continuous Assessment (100%)
Teachers
The above information outlines module MS5105: "Statistical Techniques for Business Analytics" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5104: Decision Theory & Analysis


Semester 1 | Credits: 5

The objective of this course is to introduce students to the different aspects of decision theory and analysis and specifically how these apply to business.
(Language of instruction: English)

Learning Outcomes
  1. Understand the components of decision making and different decision making processes
  2. Explain the benefits and issues with respect to models used in decision making
  3. Explain the relative advantages and limitations of data driven decisions
  4. Understand the importance of data/information visualistion
  5. Understand the different decision making styles
  6. Understand different decision making theories – for example prospect theory
  7. Understand Information Overload and its impact on decision making
  8. Understand the issues with decision making under risk and uncertainty and how to manage these
  9. Understand the possible biases involved in decision making
  10. Understand the methods of group decision making
Assessments
  • Written Assessment (50%)
  • Continuous Assessment (50%)
Teachers
The above information outlines module MS5104: "Decision Theory & Analysis" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS810: Information Systems Security & Ethics


Semester 2 | Credits: 5

Learning Outcomes
  1. Discuss key issues surrounding ethics and social/corporate responsibility in IS/IT
  2. Discuss issues relating to privacy and data protection
  3. Discuss human vulnerabilities in information systems security
  4. Outline the main types of computer crime
  5. Describe the factors to be considered in a risk management strategy
  6. Discuss security issues pertaining to mobile devices
  7. Describe key security principles surrounding of security technologies and cryptography
Assessments
  • Written Assessment (100%)
Teachers
The above information outlines module MS810: "Information Systems Security & Ethics" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS809: Enterprise Systems


Semester 2 | Credits: 5

Learning Outcomes
  1. Consider the nature and features of enterprise systems
  2. Identify the functional components of an enterprise system
  3. Evaluate various types of enterprise system technologies such as ERP, SCM and CRM
  4. Appraise how Digital Transformation can imapct enterprises
  5. Evaluate the significance of enterprise architecture management
  6. Assess key issues and problems surrounding the use and implementation of enterprise systems
  7. Appraise emerging directions in enterprise systems such as Personal Analytics, Cryptocurrency, Blockchain, and Gamification
  8. Consider how enterprise systems are designed, developed and implemented
Assessments
  • Written Assessment (100%)
Teachers
The above information outlines module MS809: "Enterprise Systems" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS802: Information Systems Strategy and Innovation


Semester 2 | Credits: 5


(Language of instruction: English)

Learning Outcomes
  1. Identify the sources and types of innovation; Understand patterns of innovation and technology cycles; Describe how innovation can be protected
  2. Discuss how IS can be used and planned strategically; Explain the benefits of adding value through IS; Identify models and frameworks of IS/IT creation; Describe how the value of IS can be sustained over time
  3. Critically discuss the merits of relying on IS/IT as a strategic initiative; Understand the relationship between IS Strategy and IS Innovation; Understand the process for defining IS Business models.
  4. Describe methods for selecting and measuring IS innovation projects; Understand the importance of cloud computing, crowdsourcing and open innovation; Critically assess factors impacting strategy and innovation.
  5. Understand emerging issues in IS Strategy and Innovation including Pervasive Computing, Internet of Things, and Web of data; Discuss the utilisation of IS for Public Sector Innovation.
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Teachers
The above information outlines module MS802: "Information Systems Strategy and Innovation" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5108: Applied Customer Analytics


Semester 2 | Credits: 5

In today's digitally enabled world, businesses are collecting more data than they know what to do with. Using the R programming language, which has become the industry standard for statistical analytics, this module will focus on turning large datasets into useful insights. The focus is applying statistical techniques to real datasets using R, rather than the mathematical details. With an emphasis on customer datasets, candidates will explore the R, RStudio, and R packages; learn how to programme basic statistics; create attractive, intuitive statistical graphics; write user-defined functions; combine and reshape multiple datasets; build linear, generalised linear, and nonlinear models; assess the quality of models and variable selection; analyse univariate and multivariate time series data; and learn how to write-up data analyses.
(Language of instruction: English)

Learning Outcomes
  1. Understand the fundamental characteristics of the R language
  2. Programme basic statistics and write user-defined functions
  3. Combine and reshape multiple customer datasets
  4. Build linear, generalised linear, and nonlinear models
  5. Create attractive, intuitive statistical graphics
  6. Learn how to write-up data analyses
Assessments
  • Written Assessment (50%)
  • Continuous Assessment (50%)
Teachers
Reading List
  1. "Customer and Business Analytics" by Daniel Putler
    ISBN: 978-1-4665-03.
The above information outlines module MS5108: "Applied Customer Analytics" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5106: Data Science and Big Data Analytics


Semester 2 | Credits: 5

This module aims to provide students with knowledge required to become active contributors to big data analytics projects and develop specific skills needed to use big data analytics technology and tools.
(Language of instruction: English)

Learning Outcomes
  1. Deploy a structured lifecycle approach to data science and big data analytics projects
  2. Reframe a business challenge as an analytics challenge
  3. Apply analytic techniques and tools to analyse big data, create models and identify insights that can lead to actionable results
  4. Demonstrate detailed understanding of technologies for big data storage and analysis, specifically Hadoop, HDFS, MapReduce and YARN
  5. Demonstrate understanding of the big data ecosystem technologies, specifically HBase, Hive, Pig, Oozy and Mahout, and how these technologies can be integrated into a business intelligence environment
  6. Use tools and techniques to analyse big data, such as R and R Studio, Hadoop, MapReduce for real-time big data analytics
Assessments
  • Written Assessment (100%)
Teachers
Reading List
  1. "Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data" by EMC Education Services
    Publisher: John Wiley & Sons
  2. "Big Data Analytics with R and Hadoop" by Vignesh Prajapati
    ISBN: 9781782163282.
    Publisher: Packt Pub Limited
  3. "Hadoop in Practice" by Alex Holmes
    ISBN: 9781617290237.
    Publisher: Manning Publications
  4. "Hadoop Beginner's Guide" by Garry Turkington
    ISBN: 9781849517300.
    Publisher: Packt Publishing Ltd
  5. "Practical Hadoop Security" by Bhushan Lakhe
    ISBN: 9781430265443.
    Publisher: Apress
The above information outlines module MS5106: "Data Science and Big Data Analytics" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS5103: Business Analytics Project


12 months long | Credits: 20

This is a major applied project which will be undertaken under the supervision and direction of staff. The project will normally be undertaken on a group basis. Projects will be based on a substantial topic in the field of business analytics.
(Language of instruction: English)

Learning Outcomes
  1. Complete the analysis of a large data set using business analytics tools and create an implementation report with respect to the findings of the analysis.
Assessments
  • Continuous Assessment (100%)
Teachers
The above information outlines module MS5103: "Business Analytics Project" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required MS815: Advanced Applications Programming


Semester 2 | Credits: 5


(Language of instruction: English)

Learning Outcomes
  1. Demonstrate an understanding of the fundamentals of Object Orientated programming
  2. Demonstrate a capacity to read, interpret and explain Java programs
  3. Describe, explain and illustrate the principles of object oriented programming
  4. Design, code, compile, run, test, debug, document Java programs that solve specified business problems according to these principles
Assessments
  • Written Assessment (100%)
Teachers
Reading List
  1. "Objects First with Java" by David J. Barnes,Michael Kölling
    ISBN: 9780132492669.
    Publisher: Pearson College Division
The above information outlines module MS815: "Advanced Applications Programming" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Optional MG557: Strategic Management


Semester 1 | Credits: 5


(Language of instruction: English)

Learning Outcomes
  1. Demonstrate a mastery of the concepts, techniques and theories of strategic management
  2. Formulate and design strategies, strategic planning systems and strategic implementation activities
  3. Develop an understanding of the complexities of strategic issues in a real world context
  4. Demonstrate evaluative and critical strategic thinking by assessing the strategic profiles of firms at business and industry levels
  5. Apply strategic principles, concepts, theories and frameworks to a wide range of businesses and industry settings
  6. Develop presenation skills, critical analysis, decision-making and working in a team based environment to solve problems in a strategic setting.
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Teachers
The above information outlines module MG557: "Strategic Management" and is valid from 2015 onwards.
Note: Module offerings and details may be subject to change.

Optional MS804: Systems Development & Project Management


Semester 1 | Credits: 5

Learning Outcomes
  1. Understand the systems development life cycle
  2. Outline best practices in IS project management
  3. Describe characteristics of IS projects and the constraints that need to be managed using project management techniques
  4. Develop project charters, preliminary scope statements and project management plans
  5. Develop work schedules
  6. Build project budgets and control them using Earned Value method analysis
  7. Discuss the criticality of issues such as integrated change management and risk management within IS projects
  8. Describe the importance of project communication and overall project governance
  9. Discuss different methodologies and approaches for IS project management and systems development
  10. Model business processes using data flow diagrams
Assessments
  • Written Assessment (100%)
Teachers
The above information outlines module MS804: "Systems Development & Project Management" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Why Choose This Course?

Career Opportunities

The Expert Group on Future Skills Needs in Ireland, expect that in the next 7 years between 4,000 and 17,000 additional jobs in Business Analytics will be created in Ireland. This programme has been designed to meet the growing demand for graduates with Business Analytics capabilities identified by the Expert Group on Future Skills Needs in Ireland.

Graduates have found employment in: 

 Business Analytics (MSc)

Graduate Roles:
  • Data Analyst
  • Account Manager
  • Support Engineer
  • Business Analyst
  • QA Engineer
  • Credit Risk Analyst
  • Computer Analyst
  • MIS Analyst
  • Customer Support
  • Operation Specialist
  • Global Customer Master Data Analyst
  • Supplier Implementation Associate

SAP Accredited

Students of the MSc Business Analytics are entitled to participate in SAP certification courses. SAP are now offering CRM and Business Intelligence courses as well as their basic ERP course. These certification courses represent a great opportunity for you to gain highly competitive skills. Our strategic alliance with SAP enables us to offer these modules to you as a registered student of NUI Galway. Once you graduate you will no longer be able to avail of them. 

Masterclasses

MSc (Business Analytics) hosts a number of Masterclasses throughout the year.

So far in the class of 2017/18, there has been a masterclass with the following: 

Speaker Name Title Affiliation
Lorcan Malone CEO Analytics Institute of Ireland
Dr. Gurchand Singh Head of Garda Síochána Analysis Service An Garda Siochana (Irish Police Service)
Bill Schmarzo CTO DellEMC Global Services
Paul Cashman Business Analytics Manager AIB (Financial Services)
Peter McCrystal Data Scientist Pramerica (Financial Services)
Pamela Devins Career Development Consultant NUI Galway
Dr. Patrick Mikalef Research Fellow Norwegian University of Science & Technology, Norway

Education in Ireland Blog:

Interested in studying abroad and pursuing a career in Business Analytics? Manish at NUI Galway tells us more about the benefits of choosing Ireland, Galway and MSc Business Analytics. Click here to read his blog. 

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Who’s Suited to This Course

Learning Outcomes

Programme Learning Outcomes

Upon completion of the MSc Business Analytics, students will have acquired industry-standard skills and in-depth knowledge to 

1) Understand and be able to use specific IT which is used in developing business analytics

2) Analyse and solve business problems using applied data analytics tools and techniques

3) Understand and apply techniques for managing Information Technology in organisations

4) Identify, analyse and solve applied problems in individual and team-based settings.

5) Apply effective decision making to global business problems

 

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€7,250 p.a. 2018/19

Fees: Tuition

€7,026 p.a. 2018/19

Fees: Student levy

€224 p.a. 2018/19

Fees: Non EU

€15,500 p.a. 2018/19

EU Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €2,000 towards your tuition.  You will be liable for the remainder of the total fee.  An F5 grant is where SUSI will pay TUITION up to a maximum of €6,270.  SUSI will not cover the student levy of €224.

EU Postgraduate fee breakdown = EU tuition + student levy as outlined above.

Find out More

Ms Emma Brinton
T +353 91 492 308
E emma.brinton@nuigalway.ie

Feedback from Industry

Bill

Bill Schmarzo |   CTO, IoT and Analytics at Hitachi Vantara

I was impressed with the quality and thoroughness of the NUI Galway's MSc (Business Analytics) program and the enthusiasm of the students. Not only does the program teach the important fundamentals of business analytics, big data and data science, but they encompass that learning within a broader design thinking approach that seeks to get the most out of every student. The success of the program speaks for itself in the number of students who are placed in high positions of responsibility at some of the leading companies throughout Ireland and the EU.
in Connect with Bill
Eddie

Eddie Morris |   Support Team Manager, Cloud Product Support, SAP

Graduates from the MSc. in Business Analytics come to us with an industry-ready skillset; they have the right blend of business and IT skills we are looking for. In our experience at SAP this means these graduates hit the ground running adding value to our organization from day one. The graduates we hired from this course impressed at interview describing in detail the outcomes and deliverables of the projects they were involved in. They continue to impress with their ability and capacity to learn and contribute.

Meet our Graduates

Neha

Neha Tyagi |   Data Analyst at RSA Insurance

I was fortunate enough to have completed a world-class course MSC. Business Analytics at National University of Ireland, Galway which was taught by qualified professors and researchers. It was my first travel outside of India and I gained priceless experience during my stay in Ireland. It gave me an international exposure to work with people from different countries and loads of practical experience in latest technologies which helped me in boosting my career prospects. Practical assignments and team work has helped me to be more confident and has developed my communication skills. It was an exciting year and helped me to secure a job as a Data Analyst at RSA Insurance.
Adrian

Adrian Egan |   Global Customer Master Data Analyst, MSD

The MSc in Business Analytics in NUI Galway offers great opportunities for people from diverse educational or professional backgrounds. It has an excellent blend of business and technical subjects that are in high demand by employers.
Ahmed

Ahmed Elwardany |   Data Analyst, Anam Technologies

The MSc in Business Analytics enriched and developed both my technical and business skills. It provided a solid foundation for transitioning my career towards business analytics through a blend of theoretical and practical learning activities. It was both a challenging and enjoyable journey that truly embraced cultural diversity in a friendly and supportive environment.
Anamika

Anamika Parashar |   Data Analyst, Scotiabank Ireland

Although I had worked in financial services prior to pursuing my masters at NUIG, this programme enabled me to develop effective communication skills, understanding of business problems and being able to translate that problem into a solution using business analytics. I have developed cutting edge technical skills in Visual C#, RStudio, Java, SQL, SAP BW and statistical techniques. I was then able to apply these technical skills and business knowledge to a major group project over the duration of the course. The MSc in business analytics has greatly enhanced my analytical, programming and research skills, which enabled me to secure a Data Analyst role with Scotiabank Ireland.

Meet our Employers:

Lorcan Malone 1

''The NUIG MSc In Business Analytics is a hugely impressive programme. The combination of expert tuition with deep industry engagement means that programme graduates will be highly sought after by leading employers in the sector''

Lorcan Malone
Chief Executive
Analytics Institute of Ireland

 

Higher Education Awards 2017

Grad Ireland Higher Education Awards 2017‌Shortlisted for Best New Course 2017

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