Double degree in Computer Science:
Data Analytics and Artificial Intelligence

Boost Innovations and Business Through Data and Artificial Intelligence

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Key Data

Level

postgraduate (master)

Duration

1.5 – 2 years

1.5 - 2 -
 years

Location

In Riga Campus

Credit Points

80 CP | 120 ECTS / 60 CP | 90 ECTS

Study Form

Full-time

Intake

February, 2023

Language

English

Accreditation

until 31.12.2023

Degrees

Master of Natural Sciences in Computer Science with specialisation in Data Analytics and Artificial Intelligence (TSI)
MSc Computer Science: Data Analytics and Artificial Intelligence (UWE)
Interrim award available: PGCert - Computer Science, PGDip - Computer Science (UWE)

Programme

Overview

This world needs for more intelligence. Artificial Intelligence can make people stronger and empower us to reach business goals and improve our lives. Our master programme is an exciting journey to the coming world of AI. It starts from the data, develops analytical and programming skills, goes through the modern statistics and machine learning, leads to better understanding of AI-powered agents and devices, and comes to the ability to create your own, unique AI solutions.

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Professor
, Dr. sc. ing.
 Dmitry Pavlyuk,

Director of the Programme

Professor
, Dr. sc. ing.
 Dmitry Pavlyuk,

Director of the Programme

side
Nadezda Spiridovska

Assoc. prof., Dr. sc. ing.,
Nadezda Spiridovska
Coordinator of the Programme

Jon Stadon foto

Jonathon Stadon
UWE Bristol
UWE Link Tutor

Jointly designed with our strategic UK partner University of West of England this study programme provides you with a unique opportunity to become an expert in a field of data analytics and artificial intelligence. The programme structure and all courses have been validated by the UWE Special University Validation Panel. The content of the programme is fully in line with international standards and industry demanded skills and knowledge, this becomes possible as we have carefully adopted the best and most demanded courses in the field from the UWE.

Are your first background not from the information and communication technology field? This programme offers the unique option for you to change your life and turn your career into IT field. How is it possible? We are offering you to spend a pre-master semester, which will enrich you with all necessary skills and knowledge to successfully complete the core study programme.

During your study you will have explicit experience with different industry-class tools and technologies, like R/Python, Tableau, SQL, noSQL, etc.

After successful completion of the study programme, you will be able to take positions of:

  • Data Analyst
  • Data Scientist
  • Applied Machine Learning Engineer,
  • Analytics Manager/Data Science Leader
  • Consultant in the field of Data Analytics and Artificial Intelligence
  • Researcher in the field of Data Science etc.

The University of the West of England is a modern and dynamic University, based near Bristol with the new state-of-the-art learning spaces and world class teaching facilities. The University is well known for its links to leading global companies such as Airbus, and for the quality of its research. The University has over 30,000 students and more than 600 courses covering a wide range of subject areas it is one of the largest and best-known universities in the UK.

The University of the West of England (UWE Bristol) has been ranked 4th amongst HEIs in the South West of England for student satisfaction by the National Student Survey (NSS) 2021 published on 15 July, 2021. As well as ranked 21 out of 121 UK institutions climbing 7 places to their highest ever position.

The University was awarded TEF gold status in the latest Government rankings for higher education providers, which is the highest rating in the Teaching Excellence and Student Outcomes Framework (TEF) 2018

I often hear that AI revolution would lead to greater inequality between those who are technologically adept and those who are not. It is true that AI-related professions are in great demand and that data scientists and data engineers earn very well. But it is not true that AI could not be taught and learned through a good MSc programme. The program designed by TSI in cooperation with UWE Bristol is what the industry needs. Together with many other international companies Deloitte has chosen our city for its regional center of AI expertise, Riga .ai Studio. Helmut Schmidt once told that people with visions should go to the doctor. I have vision of Riga as the international hub for AI science and learning. But I do not need a doctor. I need people around us who share the same conviction and who work hard towards this goal. TSI’s leaders and professors are from this cohort.

Igor Rodin, Partner of Deloitte Central Europe, Academic Advisor on the Development of Artificial Intelligence at TSI
Igor Rodin foto

Tutors from the industry

Within the double degree study programme framework, visiting professors and industry professionals are involved in the implementation of the programme. Meet them:

Dr. Neil Rubens Senior Data Scientist at VISA Inc. - The world’s leader in digital payments
Assistant professor Dr. sc. ing. Elena Kijonoka Data Scientist/Digital Data Associate Manager at Accenture Baltics
Professor Ph.D.
Emmanuel Merchán
Head of Engineering and Scientific Director at SIA “Robotic Solutions”
Dr. Neil Rubens Senior Data Scientist at VISA Inc. - The world’s leader in digital payments
Assistant professor Dr. sc. ing. Elena Kijonoka Data Scientist/Digital Data Associate Manager at Accenture Baltics
Professor Ph.D.
Emmanuel Merchán
Head of Engineering and Scientific Director at SIA “Robotic Solutions”
Dr. Neil Rubens Senior Data Scientist at VISA Inc. - The world’s leader in digital payments
Assistant professor Dr. sc. ing. Elena Kijonoka Data Scientist/Digital Data Associate Manager at Accenture Baltics
Professor Ph.D.
Emmanuel Merchán
Head of Engineering and Scientific Director at SIA “Robotic Solutions”

Benefits of the

programme

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UK Quality Standarts

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Partner with a Gold Award University on Teaching Excellence TEF 2018

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Exclusive Access to UWE Services and Resources

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Member of TSI and UWE Student & Alumni Community

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Change Career Path to IT Field

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Professional Network

Programme is

Supported by

Discover

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Block A – Mandatory Courses

Title
CP
ECTS
Cybersecurity and data protection46.0
Critical Thinking and Pedagogy46.0
Data Mining46.0
Modern Database Technologies69.0
Research Methodology69.0

Block B – Specialization Courses

Title
CP
ECTS
Business Intelligence and Data Visualisation
Business Intelligence and Data Visualisation introduces students to the core concepts of data visualisation and machine learning in the context of business intelligence and leads them through an independent exploration of a typical machine learning project. In the frame of the course students will have an experience to use modern visualisation tools (at example Tableau)
46.0
Information Systems and Technologies
The course is targeted on enrichment of the students with knowledge about emerging and vivid technologies in IS domains. The aim of course is to make students familiar with different approaches to the application of Information Systems for managing the enterprise and to acquaint students with the way of solving problems and performing practical tasks of Management Automation based on modern information and telecommunication technologies.
46.0
Machine Learning and Predictive Analytics
This course will equip students with knowledge and understanding of tools and techniques commonly utilised within the field of Machine Learning. The course will set the context of the machine learning and predictive analytics utilisation in business intelligence. Courses discusses range of applications for predictive analytics. Wide range of the machine learning techniques will be considered in the course Decision tree learning, Artificial neural networks, Naive Bayes classifier, Genetic algorithms etc.
46.0
Mathematics for data analytics
This course will introduce and, in some cases, review mathematical concepts relevant to future work in applied data analytics. It will cover important concepts in basic and linear algebra, matrix and vector algebra, eigenvectors and eigenvalues, optimization techniques, Bayes rule, and maximum likelihood.
46.0
Programming for data analytics
The course is designed to be accessible to non-Computer Science major students with little or no programming experience and emphasizes writing programs that can retrieve and manipulating large amount of data. The first half of the course focuses on incentive learning programming language (Python or R), while the second half of the course covers selected advanced topics such as data visualization, web scraping, database access and others.
69.0
Project and Requirements Management69.0
Interdisciplinary Group Project
In this module, students will work in mixed-specialism groups to identify, plan, prototype and develop a specialised technology product, service or systematic data analysis.
46.0

Block C – Elective Courses

Title
CP
ECTS
Subject of Free Choice46.0

Studies for the abbreviated study programme 1.5 year (with prior knowledge) will start on  February 2023. More information about the study schedule will follow in the near future.

If you cannot come to Latvia, no worries – start your studies remotely! We will provide all the materials and online lectures, and arrive when borders will be open.

Programme implementation form: full-time (in blended mode)

Study mode

Foreseen schedule

(Day/Time)

Foreseen efforts

(per week)

Theoretical classes: Remote \ Synchronous mode

Monday-Thursday (18.15-21.30),
2 evenings per week as per schedule

2-4 classes (4-8 ac.h)

Tutorials, practical classes, seminars, discussions, groupwork: Face-to-Face mode

Friday evenings (18.15-21.30)  + Saturdays (8.45-15.45), weekly

4-6 classes (8-12 ac.h)

Independent individual or group studies

Within a semester
(including exam sessions)

20 ac.h in average

Long programme (80 CP) with a study duration of 2 years in full-time studies or 2.5 years in part-time studies:

  • Bachelor’s degree of natural sciences or engineering or second-level professional higher education in computer science, informatics, mathematics, electrical engineering, electronics, information and communication technologies with a study duration of at least 120 CP
  • Second level professional higher education or bachelor’s degree in economics, management, logistics, finance, business, or other fields, with at least 1 year of professional experience in ICT, after an interview with the programme director and entrance examination in the specialization

Short programme (60 CP)with a study duration of 1.5 years in full-time studies or 2 years in part-time studies:

  • Bachelor’s degree of natural sciences or engineering or second-level professional higher education in computer science, informatics, mathematics, electrical engineering, electronics, information and communication technologies with a study duration of at least 160 CP and with mandatory study courses of programming (at least 6 CP) and database technologies (at least 4 CP).

enrolment requirements table

For Latvian, EU, EEC applicants

Step 1

  • Fill in the application in the Admission system and upload:
    • passport/ID card
    • bachelor’s/master’s or equivalent higher education document

Step 2

  • Come to TSI to sign the study agreement and take the original documents and 4 photos (3×4 cm) with you

For applicants from other countries of the World

The Admission Process is quick and easy

Step 1

  • Fill in the application in the Admission system and upload:
    • passport/ID card
    • the scan of original of the educational documents
    • certificate of english language proficiency at B2 level or document on previous education in English
  • Pay registration fee
  • Pass your entrance tests
  • Pass your Skype interview
  • Wait for your education document verification (AIC document). It may take up to 30-40 working days to receive it

Step 2

  • Book accommodation for a stay in Riga during studies
  • Receive positively verified document (AIC)
  • Print study agreement, sign and upload to the system
  • Pay tuition fee
  • Receive invitation

Step 3

  • Book an appointment in the Embassy of Latvia and get a visa
  • Arrive in Riga

If you cannot come to Latvia, no worries – start your studies remotely! We will provide all the materials and online lectures, and arrive when borders will be open.

The tuition fee for Latvian, EU and EEC applicants is EUR 4900 per academic year.

For applicants from other countries – EUR 5900.

We are open for individual consultations at a time convenient for you and in the language of your choice – Latvian, English or Russian. Book a consultation here or write/call us directly, through the contacts listed below

Е-mail: admission@tsi.lv
Тelephone: +371 29 990 841
WhatsApp: +371 29 990 841
Skype: infotsi