Testimonials

Note: some testimonials refer to the course by its previous name, MSc in Business Intelligence and Data Mining.

• ‘This MSc program is rigorous and has provided me with not only a greater understanding of the data science world but also greater scientific mindset. It has given me the skills needed as a data scientist and led me to my current diversified and very successful business activities. My experience at TU Dublin has turned into a journey I never thought possible, and I could not be more thankful for.’  Spiros Paraskevas
• ‘The Msc in Data mining and Business intelligence is a fantastic course. The subjects covered are interesting and covered in enough depth to allow the student to apply the skills in any workplace.’  Caroline Ryan
• ‘The programme is cohesive and well balanced between understanding the theory and working on technical tasks. Which then equips a student with the skills to hit the ground running in the field of Data Science and Analytics’  Ayisolwainkosi Ncube
• ‘Good mix of data science theory and practical applications. The online format really enabled me to manage my time.’  Eamonn
• ‘I found the course to give me a grounding in data science which i was able to build on to further my career in a flexible manner.’  Dr. Peter Brennan
• ‘The program challenged me to learn new & relevant data skills, the support to return to education and the flexibility to do so while balancing work and family commitments. The online delivery format was critical in this regard but ultimately second to the personal and committed support of the course team throughout the 2 yrs.’  Michael O’Brien
• ‘This Degree is highly valued in terms of Content and economical cost structure. Before I joined this course, I have had  thoroughly explored various other Masters Programs from other Universities. Finally I have choses this course from ITB (now TU Dublin) as the course offer much flexibility in terms of virtual learning but at the same time maintaining the same standard and quality  of a Full time course. Extremely helpful for people like me who want to earn higher degree without leaving Job.’  Lakshmi Narasimha Sastry Kavuri
• ‘I found the course very helpful as I learned new skills that my team colleagues did not have which placed me in a good position with my employer.’  Pamela Yourell
• ‘To anyone who is looking for a comprehensive and flexible MSc program focusing on data driven approaches, i recommend the MSc in Applied Data Science & Analytics offered by TU Dublin. The program is not only comprehensive and flexible but also affordable and delivered by dedicated staff through an easy to navigate virtual environment. The program is structured to apply to the real world which makes it less difficult to find relevant solutions in industry. Once again, i can confidently recommend the TU Dublin MSc in Applied Data Science & Analytics to prospective students as a world class masters program.’  Oswell Tonderai Hita
• ‘Having completed the MSC in advance data analytics and data science in TU Dublin- Blanchardstown, I can say that the course has equipped me with the skills required to be a data scientist. The lecturers and the course coordinator were very supportive and helpful in regards my assignments and dissertation. I certainly will recommend the course to anyone looking to get into machine learning and Artificial intelligence.’  Sean Adams
• ‘An excellent course that transformed an interest into enhanced career choices. Without doubt, it was the best professional decision I have ever made.’  Andrew Chisholm
• ‘This MSc in Applied Data Science and Analytic is a very forward-looking programme. The coursework in this curriculum is very practical enabled me to apply real-life problem. I am very thankful to TU Dublin for creating this programme and also thankful for both Markus and Geraldine for their wonderful teaching and advice.’  Jirapon Sunkpho
• ‘I really enjoyed doing the MSc. Online delivery meant the course was flexible enough to accommodate the requirements of working full time while also being both comprehensive and challenging. The lecturers were great, really helpful and encouraging. I would certainly recommend this course to those interested in upskilling further in  Data Science.’  Rory
• ‘I couldn’t recommend this course more highly. The range of the subject matter that was covered, and the level that it was pitched at, was ideal for me. The organisation of the course, the quality of the lectures and lecture notes, the availability and helpfulness of the teaching staff were second to none. There was a great focus on hands-on analytics projects but nicely balanced with in-depth theory and writing research papers. Although I’d been working in data science for several years before attending this course, I feel it really helped to broaden my knowledge and gave me a different perspective to problem solving.’  Colin Mc Gealy
• ‘The course provides a real insight into the power of the data science discipline. It is a challenging course with a broad range of modules that provide students with the skill set to be able to apply their new skills in the real world. The online platform also provides flexibility for students to fit with their own lives. I would highly recommend the course to anyone considering it.’  Brian
• ‘I found the course really helped me to dig deeper into a wide range of DS algorithms and processes in a way that I had not done before. While working on DS in a working environment tends to result in just getting enough of an idea to get the job done, this course has provided the opportunity and discipline to deepen my understanding. It has also broadened the range of techniques and applications beyond those that I was previously aware of.’  Pat Tyrrell
• ‘The MSC developing all aspects of my data science capacity. It was delivered by knowledgeable and extremely helpful staff. It was well structured and planned. It has been my best experience in 3rd level education’  Michael Connolly
• ‘The MSc is a fantastic programme which enabled me to upskill in Data Science . It balances practical applications of Machine Learning with the foundational theory necessary to work as a Data Scientist. The delivery mechanism and supportive environment meant I was able to complete the MSc while working full time which was a huge benefit.’  Michael Dineen
• ‘The MSc was well delivered and taught. I enjoyed the mix of theory and practical work and the course work was well presented and engaging. The lecturers provided good support throughout. Completing the MSc allowed me to transition to a role in data science, and I would not be where I am in my career without it.’  Mark
• ‘I joined the MSc in order to deep dive in data analysis as it was a field I have been interested in since I finished my engineering degree. The depth and breadth of the material covered alongside the flexibility of a fully online approach completely based on continuous assessments mean that it is up to you to extract as much as you want to put in the course. Yes, you will be pushed but the rewards will be worth it. Mix this with a group of lecturers that not only are good at what they do but also enjoy teaching and you have a recipe for success.’  Sergio de Vega Gomez
• ‘Completion of this TU Dublin (Blanchardstown) MSc exposed me to new tools and technologies which will become crucial in all industries in the short/medium term. The MSc, although requiring hard work when combined with a full time job, was structured such that someone not coming from an IT background can find a path to learning and completing. The lecturers were supportive of their time throughout the degree – much recommended.’  Alan Farrell
• ‘This masters was a fantastic course for me, thank you so much! I learned a great deal and had a chance to meet with people within the industry. The experience will be valuable to me for the rest of my career. A special thanks to Geraldine and Markus for their help and guidance throughout! ‘  Sinead
• ‘I found the course engaging and inspirational. The TUD team went out of their way to help and provide guidance and assistance at every point. The quality of the course was excellent.’  Vincent English
• ‘The MSc in applied data science program helped me to understand how to go in depth into various concepts and to write compelling reports on my findings within each. This program taught me how to operate at an academic level. This program was perfectly affordable, and I was able to complete the entire two years in the comfort of my home, ahead of its time considering how the world pivoted to online conferencing during Covid19.‘  Julien Nel
• ‘Master’s Degree in Business Intelligence & Data Mining course was very helpful for me, I really enjoyed learning all new interesting things. The programme of this course was beneficial for me, I gain a new knowledge.’  Lukasz Mazur
• ‘I had the opportunity to change roles and career path with only 50% of my MSc completed. My new employer was attracted to the fact that I was studying modern data analysis techniques and that I understood the challenges of data science. Combined with my transport sector experience, this MSc has given me great opportunities to advance in my career.’  Stephen Lynch
• I am currently in the middle of my incredible journey that would never have happened without finishing the MSc course. I cannot say that course it easy because it can challenge everybody but what I can say is that the knowledge received is necessary to feel comfortable at work. The course, from the start to the end, was done with the highest worldwide standards, and even it is online course all lecturers are almost “around the corner” ready to help. I love my work as Data Scientist and wish everybody the same. Without the MSc course and all lecturers this would never happen, and I am really grateful for giving me opportunity to finished it.’  Sylwia Sosinska
• ‘The MSc gave me the perfect platform to start my career in Data Science. The subjects covered provided me with a strong knowledge-base and the practical assignments developed my research and communication skills. The fact that the MSc was online was also a big plus, and meant that I could pursue it while beginning my Data Science career.’  James
• ‘This MSc gave me skills, knowledge and confidence to grow professionally, the course offers a broad range of topics, with the ability to dive I to the area’s you prefer.’  Thomas
• ‘My company have been doing some analysis on the monetary value of my MSc thesis work to the company. Over the next 5 years, as a compound calculation, the company would conservatively have expected to save approximately $67 million on new applications being approved without any predictive model assisting them.  With the analytics model, they are (conservatively) projecting this number to increase by $18 million over the  same time period.’ Kieran
• The Msc in Data Science and Analytics provided me with a fantastic grounding in these areas, enabling me to learn valuable skills that helped me progress my career in machine learning and AI. Through a research-focussed approach to learning, the course equipped me with the tools to critically assess latest approaches and technologies in this fast moving area.’  Tristan O’Gorman
• ‘An excellent course applicable to many professional fields. The material is interesting and the lecturers supportive.’  Helen
• ‘Excellent program which taught me skills to transition from software engineering into data science. Everything that was taught there was really useful in my day-to-day job. And most importantly it was fun.’  Karlo Sarin
• ‘The MSc programme covers the broad field of data science but at the same time you are free to choose the topics that you’re interested in. Lessons mainly teach you to understand the main concepts and buzzwords – deeper knowlege is gained by self-teaching and homework. Because of the online format, all lessons are recorded (which is great for employed persons). If students are online during the lessons, they can ask questions just like at a regular university. There are no exams but many projects to do. It’s really challenging to keep up with every deadline but also teaches you to do some time management. I enjoyed the freedom to work on own topics and I was also happy about extensive feedback by the lecturers. With respect to grades, projects are not a breeze – but evaluation was transparent and fair all the time. I really recommend this course for everyone who is employed and interested to learn much about data science! Self-reliance is a requirement though.’  Mirko Schinck
• ‘I found the MSc very informative and I learnt a substantial amount from it. I would have no hesitation in recommending this course.’  Stephen
• ‘I was extremely happy with the content (ideal mix of topics and the accurate depth) and many opportunities to pursue my own ideas/questions as part of submitted papers and research projects.’  Izabela Wowczko
• ‘I took on the MSc while working full time as a means to future proof my skillset and learn in an environment which was best in class as well as being sensitive and understanding my daytime work constraints. Friendly and passionate lectures demystified complex topics and nurtured innovative thinking.’  Dr. Jason Roche
• ‘The MSc is an excellent course with knowledgeable, approachable instructors who made themselves readily available throughout the life cycle of the course. At times the amount of work can seem daunting, however with hindsight this workload gives excellent practical real world experience of the tools and methodologies involved in the area of data science. The instructors were always on hand for questions and guidance and very understanding that students were having to schedule their studies around a full time work schedule and other commitments.  The MSc opened amazing opportunities for myself in my career and I still use some of the methodologies and tools learned on the course daily, and would heartily recommend it for anyone working in this area or that has an interest in data science’  Neil
• ‘My MSc in BI and Data Mining has truly helped me improve on the work I have been doing for years, that is, to lead a BI team. The wide variety of classes and knowledgeable faculty makes studying more interesting, informative, challenging and rewarding. The availability of distance learning classes and the support that I have received throughout the program allowed me to balance my responsibilities at work and at school. After all these years the classes taught by Dr. Markus Hoffman and Ms. Geraldine Gray is etched in my memory as they were so knowledgeable on the subjects they taught and they made it look easier. I would describe this MSc program in one word as “Awesome”! ‘  Saravana
• ‘The MSc in Business Intelligence and Data Mining provides invaluable practical working experience by focusing on the core topics that are needed to fundamentally underpin a successful career in data. The interdisciplinary scope and high standards of teaching and research enables students to explore a wide range of theoretical and methodological approaches to solving critical problems using analytics. The online aspect was an added bonus as it allowed me to work full-time while completing my studies – this was only made possible because of the incredibly knowledgeable and engaging teaching and supervising team. I highly recommend the course for anyone considering a career in data.’  Elaine Kirwan
• “‘I found the course to be of great benefit in giving me a broad knowledge and appreciation for Data Science. I particularly liked working on the thesis as it allowed me to focus in on my own research interests. On a practical level, I found that the flexibility of remote learning suited me and the lecturers were very supportive. Overall the Masters helped me to enhance my skills and knowledge and has served me well in my career as a Senior Solution Advisor.’  Colm
• ‘I would highly recommend the MSc as it significantly improved my skills through a flexible and professional course’  Daniel
• ‘The methodologies and tools I learned during my MSc have helped me in many ways in the subsequent years when looking to structure and implement solutions for data analysis or data based projects. When working specifically in a data analyst role I felt confident in analysing the data and selecting and applying data models.’  Dermot
• ‘I found the course to be great at breaking complex concepts into manageable pieces allowing for deeper learning. The course was delivered in a practical way requiring application of techniques rather than rote learning reflecting challenges faced in the real world of work. The lecturers were actively engaged at all times and provided all the support necessary as well as being flexible with regard to student’s other commitments.  The continuous assessment style with multiple projects, large and small, was well integrated with the course content with plenty of support also for students to go outside the course contents.’  Michael Kelly
• ‘Enrolling to ‘Master of Science in Computing (Business Intelligence & Data Mining)’ was great decision for me. This course offered me different perspective on discovering knowledge from the data. The course content provided information about emerging trends and challenges in Business Intelligence & Data Mining. Learning was challenging with well qualified lecturers, who were always ready to help.’  Mirza Cilimkovic
• ‘For my final thesis, I worked on sentiment analysis on social media data. This has given me enough challenge on data scraping and big data. As social media data has a lot of issues, I investigated different algorithms to tackle that. During the process, I received incredible support especially from my supervisor, Dr Geraldine Gray. But the other lectures like Dr Markus and Laura were also there when I need them.’  Mulluken Wondie
• ‘The course enabled me to switch and progress rapidly in a new career path. The flexibility of the course being online really suited me as it meant I could balance the course work efficiently my full-time employment and young family.’  Tomás
• ‘If you like data but want to hone your skills, learn industry skills and become more efficient then this is the course for you. Superb course with the ideal blend of practical vs. theoretical learnings including strong immersion into growing fields like AI/Machine learning. I could not recommend this course any higher.’  Brian Meehan
• ‘It was really great. I found it comprehensive , informative , engaging and interesting. I very much liked online lectures that i could reply in my leisure to better understand subject at hand. I liked that there was no exams and instead it was real live project based where i could learn a lot by doing and get grades for real project based work. The teachers was very supportive and extremely knowledgeable. I totally recommend this course to any one who is data orientated.’  Igor Wodyk
• ‘The MSc in BI & Data Mining was ahead of its time. It was flexible and all lectures were online – like everything is now – and it was very comprehensive and challenging pushing me beyond my comfort zone.’  Anonymous
• ‘I really liked the course and the freedom it provided with respect to both the things you could choose to work on and remote setting which provided enough flexibility to do the course besides working full time.’  Anonymous
• ‘MSc in applied data science course offers a well structured programme that allows to obtain both theoretical and practical skills in data science, data processing and ML. The lectures are offered at the evening time and I could successfully combine the study with a full time job.’  Anonymous
• ‘I wasn’t sure what to expect when I started this course. I quickly discovered however, that the skills acquired can be applied in all sectors of industry. Coming from an Engineering background, I have put into practice the techniques I learnt and has greatly enhanced my data analysis, knowledge discovery, data visualization and reporting skills. Surprisingly, I have used my text mining skills on numerous occasions to study free text and report on sentiment from organization wide assessments. My MSc has provided me with a unique skillset which allows me to provide a more comprehensive analysis of assigned tasks which significantly contributes to the decision making process for senior management.’  Anonymous
• ‘From a management perspective, it helped me understand what is behind all the hype with AI and ML, and to be able to critically evaluate these technologies and what it takes to use them in an organisation’  Anonymous
• ‘Great experience, specially with Geraldine Gray, she was my thesis supervisor and put the extra mile in the effort of guiding me properly. Even after finishing the presentation she encouraged me to present it as a paper.’  Anonymous