Software, Data and Technology

Program Overview

The BSc Software, Data and Technology (SDT) program is a three-year, 180-credit-point program that combines the latest in software development, data analysis, and machine learning. Taught by top industry programmers and IT professionals, the program prepares students for successful careers in the rapidly growing fields of software, data, and technology. Graduates have gone on to successful careers in a variety of industries, including technology, finance, and consulting.

Program Outline

Degree Overview:

The BSc Software, Data and Technology (SDT) program is a three-year, 180-credit-point program designed to prepare students for a wide range of career paths.

• Objectives:
• To provide students with a strong foundation in mathematics and programming.
• To enable students to master new programming methods and technologies.
• To train students in data analysis, machine learning, and other relevant technologies.
• To prepare students for successful careers in the IT industry.
• Program Description:
• The SDT program is a unique program that combines the latest in software development, data analysis, machine learning, and the best from JetBrains' expertise.
• The program is taught by top industry programmers and IT professionals, providing students with up-to-date, practical knowledge that sets them up for success in the field.
• The program also features a strong community of engaged and passionate people, providing students with a supportive and collaborative learning environment.

Outline:

• Year 1:
• Fundamental courses in math and programming (including Kotlin programming language)
• Opportunity to explore different disciplines
• At least 37.5 credit points coming from intended major
• Year 2:
• In-depth, discipline-specific CORE modules (45 credit points)
• Extension of understanding of key theories, principles, and methods in major
• Year 3:
• Major-specific and major-related advanced Specialization modules (15 credit points)
• Consolidation of knowledge in areas of choice
• Mandatory summer internship

Teaching:

• Teaching Methods:
• Lectures
• Tutorials
• Practical exercises
• Group projects
• Faculty:
• Top industry programmers and IT professionals
• Unique Approaches:
• Close mentoring of industry experts
• Opportunities for students to participate in training for programming competitions

Careers:

• Potential Career Paths:
• Software developer
• Data analyst
• Machine learning engineer
• IT project manager
• Opportunities:
• The program provides students with the skills and knowledge needed for high-demand careers in the rapidly growing fields of software, data, and technology.
• Outcomes:
• Graduates of the program have gone on to successful careers in a variety of industries, including technology, finance, and consulting.