Accreditation:
Turing College is an online AI college for busy professionals. Licensed as a higher education institution in the European Union via Woolf, we bring world-class 6-24 months programs in data science & ML, analytics, data engineering & web development driven by Google-level engineers to Cambridge University PhDs.
In 2023, Fortune magazine featured Turing College's data science bootcamp as one of the best places to learn Data Science & Analytics.
Turing College is the world’s first accredited college to offer a unique methodology focused on supporting busy professionals:
1)Learn deeper with 1on1-centric education
Unlike other online courses, here you'll learn by simulating the work of a tech company. With the 1on1 live support of world-class professionals, you will build real skills and a portfolio of projects. Their master's degree has ~36 practical projects. That’s 2-3x more than any other college offer!
2)Upskill with a flexible schedule
Turing College has no lectures. Their self-paced courses are designed for working individuals, allowing you to study according to your schedule via our learning platform. Anytime, anywhere!
3)Get job-ready with confidence
Turing College can’t promise you will get a job. After all, getting hired depends on you. But they are there to help, and they’re proud of our track record so far - 97.9% of our graduates have landed jobs within 6 months.
Degrees
Master of Science in Data Science
Master of Science in Data Science
The course teaches students comprehensive and specialised subjects in data science; it develops sophisticated skills in statistics, mathematical modelling, and the ability to code in support of such analyses. It further grounds students in the disciplinary history and methodology of data science, preparing them for either further study or to work as a practitioner in the field. The program prominently features a major capstone project, requiring students to identify a real-world problem that would benefit from a data-driven approach; to collect and prepare the data to address the problem; and to build visualisations in support of their arguments. The combination of rigorous mathematical training with practical approaches gives learners the ability to autonomously further develop their skills after graduation, turning them into lifelong learners of data science methods.
Dean
Tadas Jucikas
I believe that the creation of beneficial Artificial Intelligence will be the most important technological development in human history, with the potential to shape the trajectory of humanity.
At Genus AI we are working on enabling consumer brands to double the efficiency of their customer acquisition via paid social channels using novel ML technologies that allow predictive content generation, campaign modelling and customer archetyping.
I have completed my PhD in Computational Neuroscience at the University of Cambridge where I studied genetic and molecular mechanisms of behavior. I have completed my MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge where I studied machine learning, statistics and biological system modelling.
For the past eight years, I have built and managed data science teams in both the private and public sectors and pioneered applications of machine learning algorithms and AI in real world scenarios.
► Contact:
Feel free to message me or follow me on twitter: @TadasJucikas
Academic board members
Tadas Jucikas
I believe that the creation of beneficial Artificial Intelligence will be the most important technological development in human history, with the potential to shape the trajectory of humanity.
At Genus AI we are working on enabling consumer brands to double the efficiency of their customer acquisition via paid social channels using novel ML technologies that allow predictive content generation, campaign modelling and customer archetyping.
I have completed my PhD in Computational Neuroscience at the University of Cambridge where I studied genetic and molecular mechanisms of behavior. I have completed my MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge where I studied machine learning, statistics and biological system modelling.
For the past eight years, I have built and managed data science teams in both the private and public sectors and pioneered applications of machine learning algorithms and AI in real world scenarios.
► Contact:
Feel free to message me or follow me on twitter: @TadasJucikas
Algimantas Cerniauskas
Professors, Instructors and professional experts
Tadas Jucikas
I believe that the creation of beneficial Artificial Intelligence will be the most important technological development in human history, with the potential to shape the trajectory of humanity.
At Genus AI we are working on enabling consumer brands to double the efficiency of their customer acquisition via paid social channels using novel ML technologies that allow predictive content generation, campaign modelling and customer archetyping.
I have completed my PhD in Computational Neuroscience at the University of Cambridge where I studied genetic and molecular mechanisms of behavior. I have completed my MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge where I studied machine learning, statistics and biological system modelling.
For the past eight years, I have built and managed data science teams in both the private and public sectors and pioneered applications of machine learning algorithms and AI in real world scenarios.
► Contact:
Feel free to message me or follow me on twitter: @TadasJucikas
Gytis Trikleris
I am an experienced open source software engineer currently working at Red Hat in Spring Boot and RHOAR teams adapting Red Hat technologies for Spring Boot users and improving their experience on OpenShift and Kubernetes.
Tomas Moška
Tech guy by passion, Business Economist by education.
Combining both fields to achieve what's impossible by knowing only one.
Lukas Kaminskis
Learned coding in a self-organized coding bootcamp at the age of 16.
Started a physical coding school for talented kids at the age of 18.
Made a partnership with Harvard University at the age of 19.
Founded Turing College, an online AI-driven college, at the age of 22.
Algimantas Cerniauskas
Giedrius Žebrauskas
I have dedicated my career to creating new and improved ways of digital learning that have a global impact.
These include EDUKA Dienynas and EDUKA Klasė - the leading LMS platform in Lithuania. When I joined as Head of Technology, EDUKA Klasė was only being used by a handful of schools. I oversaw its rapid adoption and helped it navigate a huge increase in users (up tp 20x growth in one month) during the COVID-19 lockdown. I have also worked in a London-based startup with top UK teachers, leading the development of an online platform used across the UK and in Latin America.
My strong background in tech helps me turn edtech ideas into reality. I graduated with First Class Honours in Computer Science from the University of Edinburgh, worked as a front-end lead at Western Union (leading a team spread across San Francisco, Vilnius and Noida), and co-founded a web development agency Appmakers.
In my current role as Head of Education at Turing College, the first Lithuanian startup to be accepted to Y Combinator, I am responsible for creating and evolving Turing College's unique educational methodology. I bring my experience of having managed and led various IT companies, as well as my deep understanding of education to this role in order to help ensure that our learners gain the skills they need to be successful data science employees.