Description

The innovative project-oriented training in Data Science is led by the minds that envision and the hands that shape the future of the Big Data World. Your diploma will read Master of Science only because our "Wizard" degree is not yet official.

Program goal

A true Data Scientist solves a problem by combining hardcore science and breakthrough data mining technologies with the inexplicable art of human understanding. As a student, you will take part in real projects, working with a team through all project stages to acquire deep knowledge and master your skills in analyzing the core problems of your customer, planning and managing project resources, engineering software, collecting and processing all sorts of data, and discovering the precious insights that put the whole data puzzle together.

Duration of study

Full-time study, 2 years

Language of instruction

English

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Curriculum

1st year

1. Problem statement
Business understanding Ready solutions Scripting
BA Business Analysis: BGoals, Communic Business Analysis: Requirements
Engineering Business Cases Excel, Greenplum, BigML, Deductor, Weka SE: Programming (Python, R), Prototype
Management Project Management Project Management Project Management
Math Knowledge Presentation Machine Learning Operations Research
Advancing Theory of Constraints Enterpreneurship
Elective business domain Social network analysis / Bioinformatics/ Cognitive Data Mining / Instrumentation / Healthcare / Telecom
2. Science
Access to data Mining Presenting
BA Business Analysis 2 Presenting to SH
Engineering Storage Technologies Big Data Development Environments Processing Big Data with cloud-based technologies
Management Project Management Project Management Project Management
Math Machine Learning 2 Visualization Methods and tools w practice
Advancing Juridical issues Decision making theory
Elective business domain Social network analysis / Bioinformatics/ Cognitive Data Mining / Instrumentation / Healthcare / Telecom

2nd year. Innovative

3. Management
Deployment Scaling
BA Marketing
Engineering Virtualization and Consolidation Clouds
Management Product Management
Math Fuzzy logic and rough computing
Advancing Enterpreneurship 2 Technology trends

4. Thesis: Final State Certification

Program structure

First year, Fall Semester
Obligatory courses Credits Certification
Operations Research 4 Exam
Data Mining Tools and Languages 4 Exam
Storage Technologies 4 Exam
Philosophy of Data Science 2 Pass
Business Analysis 4 Exam
Team Management 2 Pass
Knowledge Management 3 Exam
 First year, Spring Semester
Obligatory courses
Project Management 3 Exam
Machine Learning 4 Exam
Natural Language Processing 4 Exam
Frontiers of Data Science 3 Pass
Electives
Data Warehouses 4 Pass
Programming in Scala 4 Pass
Decision Making Theory 4 Exam
Processing Big Data with Cloud tech 4 Pass
 Second year, Fall Semester
Obligatory courses
Academic writing 2 Pass
Signal Processing 3 Exam
Virtualization and Consolidation 4 Exam
Electives
Biomedical Engineering 4 Exam
Algorithm Analysis 4 Exam
Project Management with TOC 4 Exam
Product Management and Entrepreneurship 4 Exam
 Second year, Spring Semester
Obligatory courses
Pregraduation practice 7 Pass
Master Thesis 6 Defense
During the 2 year program
R & D practice 28 Pass each semester
Scientific workshop 8 Pass each semester

Master dissertation

Examples of topics

  • Development of a system for predicting blood sugar levels based on machine learning
  • Developing a subsystem for retrieving event data
  • Development of a module for an expert system for analysis and monitoring of communications, solving the subscribers identification problem
  • Developing Big Data platform for cognitive analysis
  • Applying the principle of rival similarity search for significant features in the processing of large amounts of data (Big Data)

Training base

Each student can select a domain based on his own interest. Courses specified for domains are supported by companies that have great experience applying data analysis techniques to solve innovative problems.

Key personnel

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Evgeniy Pavlovskiy

PhD in Math, certified EMC Data Science Associate

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Alexander Savostyanov

PhD in Biology, PhD in Philosophy, Senior Researcher at Research Institute of Physiology

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Grigoriy Khazankin

Certified CCNA, leading engineer at Research Institute of Physiology

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Vyacheslav Mukhortov

Project Management course lecturer, director of Inteks LLC

Fees and Financial support

Tuition fees

Tuition fees is U.S. $5200 per year

Scholarships

Every year foreign students have an opportunity to apply for the Russian Government Scholarship Program

Benefits: full tuition, monthly stipend.
Application deadline: depends on the country of applicant

You also have an opportunity to participate in the "Open Doors” Russian Scholarship Project and win a full scholarship to study Master’s program.

Benefits: full tuition, monthly stipend.
Application deadline: 31 January 2019

Career opportunities

There are several possibilities: work for the University, Research Institutes of Russian Academy of Sciences, or for IT-business, such as our companies ExpaSoft, UniPro, Inteks, Parallels etc. All our students have part time work in an IT-company during the tuition period. In addition, many of our alumni work for Yandex, Google, Microsoft, Parallels and Intel. Near the University, there is an R&D division of the Intel Corporation.

Entrance requirements

  • Copy of the 1st page of your travelling passport with your personal data
  • Legalized (if required) educational certificate
  • Legalized (if required) academic transcripts (transcript of record, university degree/s, diploma supplements)
  • 2 photos
  • English language course marks sheet/TOEFL certificate or other international certificates (in case English is not your mother tongue and your previous education wasn't in English)
  • Curriculum Vitae
  • Motivation Letter (1-2 pages)
  • Medical certificate of overall health condition
  • HIV + AIDS certificates

Note! For enrollment you have to submit both original and notarized Russian translations of the required documents to the NSU Admission Office.

Application deadlines