Anybody who’s ever given ChatGPT or a similar AI-powered software a whirl has seen machine learning in action. Today, we’re on the cusp of a computational revolution as computer systems are being taught to do more than simply follow processes. They can learn just like humans though they can only do so using algorithms and models designed to show them what to learn and how to draw conclusions.

Those who can master machines, or more accurately, the concepts of building digital brains for machines, stand to enjoy long and lucrative careers. Glassdoor tells us that the average machine learning engineer picks up €70,318 in Germany alone, with senior-level engineers picking up close to €90,000. But to get to the point where you can work in this field, you need a Master’s in machine learning to demonstrate that you know what you’re doing. This article looks at three of the best programs for European and international students.

Factors to Consider When Choosing a Masters in Machine Learning Program

Before we dig into the courses, it’s important to highlight what we’re looking for. After all, a certificate needs to be worth more than the paper on which it’s printed, serving as tangible proof that you have the machine learning chops prospective employers desire.

  • University Reputation – A certificate from a university with a bad reputation is like word-of-mouth from a shyster – nobody trusts it. Any institution you choose needs to have a stellar reputation as a provider of high-quality programs.
  • Course Curriculum – The general concept of machine learning branches off into many different paths and specializations, each of which takes you in different career directions. By examining the course curriculum, you confirm that your program leads you down the right path rather than being something that’ll force you to course-correct in the future.
  • Faculty Expertise – The people who teach you need to have roots in the machine learning sector. Those roots can come from their experience in industry, academic success, or research, but they need to be there if your teachers are to provide the fuel to grow your academic seed.
  • Industry Connections – Machine learning already permeates through any industry that relies on data (i.e., almost all of them), so you want a university that offers links to employers. Look for internship programs, lecturers with a history of real-world experience, and careers departments designed to help you get ahead.
  • Tuition Fees – There’s no getting around the fact that a Master’s degree in any subject sets you back a few thousand euros. How many thousands depends on the nature of your course and the institution, so look for something that’s affordable and (where applicable) can provide financial aid.

Top Masters in Machine Learning Programs

With what to look for established, it’s time to look at a trio of Master’s in machine learning courses that fit the bill when examined under the lens of the above five factors.

Master of Science in Machine Learning and Data Science (Imperial College London)

Imperial College London has always held a high reputation in the UK (it was a fixture on the old show “University Challenge”) and its Master’s degree courses allow you to piggyback off that reputation. This Master’s is a 24-month program that’s offered 100% online, making it as accessible to international students as it is to English ones.

The program starts you off with theory and ethics, helping you understand the programming techniques and math that go into designing machine learning models. By the second year, you’ll start getting your feet wet with practical projects, develop mastery of unsupervised learning, and take on research projects to show you can apply what you’ve learned. The faculty has wide-ranging experience, led by Professor Michael Bronstein, the university’s Chair of Machine Learning and Pattern Recognition. His expertise has been called upon by the likes of the University of Oxford and Project CETI, meaning you’re in good hands from the course creation and guidance perspectives.

The downside is that this is an expensive course, costing international students £16,200 per year for a total of £32,400 (approx. €37,310 as of time of writing). That’s money well spent, considering you get a degree from a university that ranks sixth in the QS World University Rankings and has an alumni network that stretches to over 200,000 former students and faculty members. Financial assistance for those high tuition fees is available for Imperial’s Student Support Fund and Global Relief Fund, though both are only available to students who face unexpected financial hardship.

Master in Management of AI and Machine Learning (UBI Business School)

From a course focused primarily on theory, we move to one that takes a much more business-centric focus. UBI Business School has five-star ratings across the board from QS University World Rankings and delivers courses that help students harness their knowledge to meet the demands of modern industry.

Creating digital leads is the stated goal of the program, which it highlights through a curriculum developed by some of the world’s leading tech companies. The idea is simple – ask companies what they want and let them design a course that teaches it. First-stage students start with modules focusing on the psychology and ethics behind modern technology. By the second stage, those who choose the AI and machine learning specialization move into the fundamentals of AI, neural networks, and applying Python to large datasets. Finally, this MSc machine learning concludes with a management project, where you’ll complete a thesis and work directly either with an existing business or in the university’s Venture Creation Lab.

Tuition may be a sticking point because you need to pay €11,900 for the course, though you can get a discount if you pay upfront. UBI also offers scholarships based on merit and for special groups (i.e., people with special political associations). International students can also benefit from global inclusion and refugee scholarships designed to make education more accessible. The teaching staff, led by Dean and Professor Gaston Fornes, includes people who have over 15 years of professional experience, five of which are spent in senior leadership roles.

Master in Applied Data Science & AI (OPIT)

Don’t let the lack of the term “machine learning” in the degree’s name fool you – OPIT’s course leans heavily into machine learning. In the first term alone, you’ll learn about feature engineering, different machine learning models, and how to visualize data through Python and relevant coding libraries. But you’ll learn all of that in the context of how machine learning applies in data science, making the program ideal for practical people with one eye turned toward a data science career.

That focus on practicality continues in the second team, where you can study the applications of machine learning more directly. The third (and final) term is your thesis, which is your choice between a research project or an internship with a real-world company. Speaking of associations with companies. OPIT’s team of teachers boasts experience working with some major players, with former Google and Microsoft employees among their numbers. Again, that feeds into the applied approach brought to this Master’s in machine learning as you’ll learn from people who’ve actually applied what they’re teaching you.

Tuition fees are also reasonable for this 18-month course. Most can expect to pay €6,500, though early bird discounts are on offer to bring the price closer to the €5,000 range if you apply several months before the October intake. You can also pay in installments.

Other Notable Masters in Machine Learning Programs

The three courses highlighted above all offer something different, with one being more theory focused, another taking on the business angle, and the third falling somewhere in between. But beyond those three, here are a few more good MSc machine learning universities to consider.

Carnegie Mellon University

As one of the world’s top-ranked AI institutions, Carnegie Mellon is ideal for those who want to study in the United States. Learning from top researchers gives you a solid pedigree that makes you more desirable to employers after your studies.

University of Oxford

The University of Oxford’s low 18% acceptance rate belies its reputation as the UK’s foremost academic institution. Simply having the word “Oxford” on your CV opens doors that other degree programs can’t.

KU Leaven

Don’t let KU Leaven’s reputation as one of the oldest Catholic universities in the world trick you into thinking it’s not the best place for the sciences. It’s a world leader in research, especially in AI and biomedical science fields.

Guide the New Wave of Machines With an MSc Machine Learning Degree

By choosing to pursue a Master’s in machine learning, you’ve put yourself on track for a career that will be lucrative and has the potential for enormous growth as more companies adopt AI. You’re also getting yourself in on (or near) the ground floor of a metaphorical building that’s going to be so high that we may not ever see the top.

The three courses here (plus the universities touched upon at the tail end of the article) offer differing paths into machine learning. But all three give you the same result – an MSc machine learning qualification you can use to build a superb career.

Related posts

Il Sole 24 Ore: 100 thousand IT professionals missing
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
May 14, 2024 6 min read

Written on April 24th 2024

Source here: Il Sole 24 Ore (full article in Italian)

Open Institute of Technology: 100 thousand IT professionals missing

Eurostat data processed and disseminated by OPIT. Stem disciplines: the share of graduates in Italy between the ages of 20 and 29 is 18.3%, compared to the European 21.9%

Today, only 29% of young Italians between 25 and 34 have a degree. Not only that: compared to other European countries, the comparison is unequal given that the average in the Old Continent is 46%, bringing Italy to the penultimate place in this ranking, ahead only of Romania. The gap is evident even if the comparison is limited to STEM disciplines (science, technology, engineering and mathematics) where the share of graduates in Italy between the ages of 20 and 29 is 18.3%, compared to the European 21.9%, with peaks of virtuosity which in the case of France that reaches 29.2%. Added to this is the continuing problem of the mismatch between job supply and demand, so much so that 62.8% of companies struggle to find professionals in the technological and IT fields.

The data

The Eurostat data was processed and disseminated by OPIT – Open Institute of Technology. an academic institution accredited at European level, active in the university level education market with online Bachelor’s and Master’s degrees in the technological and digital fields. We are therefore witnessing a phenomenon with worrying implications on the future of the job market in Italy and on the potential loss of competitiveness of our companies at a global level, especially if inserted in a context in which the macroeconomic scenario in the coming years will undergo a profound discontinuity linked to the arrival of “exponential” technologies such as Artificial Intelligence and robotics, but also to the growing threats related to cybersecurity.

Requirements and updates

According to European House Ambrosetti, over 2,000,000 professionals will have to update their skills in the Digital and IT area by 2026, also to take advantage of the current 100,000 vacant IT positions, as estimated by Frank Recruitment Group. But not only that: the Italian context, which is unfavorable for providing the job market with graduates and skills, also has its roots in the chronic birth rate that characterizes our country: according to ISTAT data, in recent years the number of newborns has fallen by 28%, bringing Italy’s birth rate to 1.24, among the lowest in Europe, where the average is 1.46.

Profumo: “Structural deficiency”

“The chronic problem of the absence of IT professionals is structural and of a dual nature: on one hand the number of newborns – therefore, potential “professionals of the future” – is constantly decreasing; on the other hand, the percentage of young people who acquires degrees are firmly among the lowest in Europe”, declared Francesco Profumo, former Minister of Education and rector of OPIT – Open Institute of Technology. “The reasons are varied: from the cost of education (especially if undertaken off-site), to a university offering that is poorly aligned with changes in society, to a lack of awareness and orientation towards STEM subjects, which guarantee the highest employment rates. Change necessarily involves strong investments in the university system (and, in general, in the education system) at the level of the country, starting from the awareness that a functioning education system is the main driver of growth and development in the medium to long term. It is a debated and discussed topic on which, however, a clear and ambitious position is never taken.”

Stagnant context and educational offer

In this stagnant context, the educational offer that comes from online universities increasingly meets the needs of flexibility, quality and cost of recently graduated students, university students looking for specialization and workers interested in updating themselves with innovative skills. According to data from the Ministry of University and Research, enrollments in accredited online universities in Italy have grown by over 141 thousand units in ten years (since 2011), equal to 293.9%. Added to these are the academic institutions accredited at European level, such as OPIT, whose educational offering is overall capable of opening the doors to hundreds of thousands of students, with affordable costs and extremely innovative and updated degree paths.

Analyzing the figures

An analysis of Eurostat statistics relating to the year 2021 highlights that 27% of Europeans aged between 16 and 74 have attended an entirely digital course. The highest share is recorded in Ireland (46%), Finland and Sweden (45%) and the Netherlands (44%). The lowest in Romania (10%), Bulgaria (12%) and Croatia (18%). Italy is at 20%. “With OPIT” – adds Riccardo Ocleppo, founder and director – “we have created a new model of online academic institution, oriented towards new technologies, with innovative programs, a strong practical focus, and an international approach, with professors and students from 38 countries around the world, and teaching in English. We intend to train Italian students not only on current and updated skills, but to prepare them for an increasingly dynamic and global job market. Our young people must be able to face the challenges of the future like those who study at Stanford or Oxford: with solid skills, but also with relational and attitudinal skills that lead them to create global companies and startups or work in multinationals like their international colleagues. The increasing online teaching offer, if well structured and with quality, represents an incredible form of democratization of education, making it accessible at low costs and with methods that adapt to the flexibility needs of many working students.”

Point of reference

With two degrees already starting in September 2023 – a three-year degree (BSc) in Modern Computer Science and a specialization (MSc) in Applied Data Science & AI – and 4 starting in September 2024: a three-year degree (BSc) in Digital Business, and the specializations (MSc) in Enterprise Cybersecurity, Applied Digital Business and Responsible Artificial Intelligence (AI), OPIT is an academic institution of reference for those who intend to respond to the demands of a job market increasingly oriented towards the field of artificial intelligence. Added to this are a high-profile international teaching staff and an exclusively online educational offer focused on the technological and digital fields.

Read the article
Times of India: The 600,000 IT job shortage in India and how to solve it
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
May 2, 2024 3 min read

Written on April 25th 2024

Source here: Times of India 

The job market has never been a straightforward path. Ask anyone who has ever looked for a job, certainly within the last decade, and they can tell you as much. But with the rapid development of AI and machine learning, concerns are growing for people about their career options, with a report from Randstad finding that 7 in 10 people in India are concerned about their job being eliminated by AI.

 Employers have their own share of concerns. According to The World Economic Forum, 97 million new AI-related jobs will be created by 2025 and the share of jobs requiring AI skills will increase by 58%. The IT industry in India is experiencing a tremendous surge in demand for skilled professionals on disruptive technologies like artificial intelligence, machine learning, blockchain, cybersecurity and, according to Nasscom, this is leading to a shortage of 600,000 profiles.

 So how do we fill those gaps? Can we democratize access to top-tier higher education in technology?

These are the questions that Riccardo Ocleppo, the engineer who founded a hugely successful ed-tech platform connecting international students with global Universities, Docsity, asked himself for years. Until he took action and launched the Open Institute of Technology (OPIT), together with the Former Minister of Education of Italy, Prof. Francesco Profumo, to help people take control of their future careers.

OPIT offers BSc and MSc degrees in Computer Science, AI, Data Science, Cybersecurity, and Digital Business, attracting students from over 38 countries worldwide. Through innovative learning experiences and affordable tuition fees starting at €4,050 per year, OPIT empowers students to pursue their educational goals without the financial and personal burden of relocating.

The curriculum, delivered through a mix of live and pre-recorded lectures, equips students with the latest technology skills, as well as business and strategic acumen necessary for careers in their chosen fields. Moreover, OPIT’s EU-accredited degrees enable graduates to pursue employment opportunities in Europe, with recognition by WES facilitating transferability to the US and Canada.

OPIT’s commitment to student success extends beyond academics, with a full-fledged career services department led by Mike McCulloch. Remote students benefit from OPIT’s “digital campus,” fostering connections through vibrant discussion forums, online events, and networking opportunities with leading experts and professors.

Faculty at OPIT, hailing from prestigious institutions and industry giants like Amazon and Microsoft, bring a wealth of academic and practical experience to the table. With a hands-on, practical teaching approach, OPIT prepares students for the dynamic challenges of the modern job market.

In conclusion, OPIT stands as a beacon of hope for individuals seeking to future-proof their careers in technology. By democratizing access to high-quality education and fostering a global learning community, OPIT empowers students to seize control of their futures and thrive in the ever-evolving tech landscape.

Read the article