Graduate

Profiles

The Data Science and Artificial Intelligence Master's Program produces graduates who are competent to work in professions such as Data Analyst, Data Scientist, and Data Engineer.


Curriculum Development in Data Science and Artificial Intelligence (DS& AI) is an Erasmus + KA2 Project - Capacity Building in the field of Higher Education.


The DS&AI project aims to create a new MSc programme in Data Science and Artificial Intelligence in Asia. The DS&AI project focuses on MSc’s level training, providing advanced courses and guidance in developing research skills necessary to develop innovative new data-driven technologies. DS&AI aims to generate highly-skilled Data Scientists and other relevant experts that will reinforce the regional ICT industry that is in dire need of them

Learning

Outcomes

Graduates have the competence to process large-scale data, build and manage big data infrastructure, and adeptly gain insights using a multidisciplinary approach.
  1. Mastery of theoretical or applied concepts in the field of Data Science and Artificial Intelligence.
  2. In-depth knowledge of developing applications based on Data Science and Artificial Intelligence.
  3. Ability to process large amounts of data and extract insights using a multidisciplinary approach.

  1. Ability to develop a beneficial solution or innovation in the field of Data Science and Artificial Intelligence that contributes to scientific advancement.
  2. Ability to develop innovative solutions using intelligent systems applications, particularly those employing machine learning concepts.
  3. Knowledge of the application of Data Science and Artificial Intelligence in industries, the wider community, and government.
  4. Knowledge of the latest developments, concepts, methods, and technologies in the field of Data Science and Artificial Intelligence.
  5. Ability to engage in the learning process and implement the latest concepts, methods, and technologies in the field of Data Science and Artificial Intelligence.
  6. Capable of conducting academic validation or research in their area of expertise to solve problems in relevant societal or industrial contexts by developing knowledge and skills.
  7. Able to make decisions in the context of solving scientific and technological development problems, considering and applying humanistic values based on analytical or experimental analysis of information and data.
  8. Students can explain the fundamentals of computational linguistics and natural language processing (NLP).
  9. Students can apply state-of-the-art preprocessing and parsing methods for natural languages.
  10. Students can describe and utilize appropriate learning techniques and models for NLP problem scenarios.
  11. Students are capable of designing and implementing NLP applications.

Scientific

Disciplines

Artificial Intelligence
Data Science

Our

Curricula

Discover more about our two curricula and start building your future with Fasilkom-TI USU.

Admission

Official written information and guidelines can be accessed on the following webpage.

Data Science and Artificial Intelligence Master's Program

Faculty of Computer Science and Information Technology

Universitas Sumatera Utara
Building D Faculty of Computer Science and Information Technology
Universitas Street 9B, Medan, Sumatera Utara 20155