Big Data Analytics & Artificial Intelligence

Master Program

at Novosibirsk State University*

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

Get involved

* - Top second in Emerging Europe & Central Asia Universities 2019, by QS Rankings

# If you can read this, you can apply
class BDA_Artificial_Intelligence(Master_Program):
  def __init__(self):
    self.medium =   'English'
    self.duration =  2           # years
    self.fee =       USD(5200)   # per year
    self.deadline = '2019-Jun-15'
    self.start =    '2019-Sep-01'

Benefits


1. Research opportunities in real world-class science

You will learn not only how to apply data science and machine learning methods, but will have an opportunity to develop new or upgrade existing ones, for example improvement training procedure of state of-the-art neural network.

2. Project based and practical-oriented learning

You will gain experience in projects with real tasks from our partners. Program is designed so that you are involved in all stages of Data Science and Machine Learning project development and implementation cycle beginning with understanding of business needs, trough detailed project planning and management, ending up with implementation of new product or technology.

3. PhD opportunities

This program also opens up possibilities for a PhD in NSU and the world's leading universities.

4. Wide range of hot domains

You will have an opportunity to apply your data science and machine learning skills in leading scientific and industrial domains such as Oil and Gas, Healthcare, Social networks, Cognitive data science, Telecommunications, Instrumentation.

5. Hackathons and data science competitions with tricky and unsolved tasks

You will have an opportunity to participate or to manage hackathons held by Big Data Analytics & Artificial Intelligence master program and our partners.

6. Career

Faculty alumni work for such companies as Microsoft, Facebook, Google, Parallels, Yandex, Kaspersky, Huawei etc.

SKILLS


True Data Scientist solves the problem by combining the hardcore science and breakthrough data mining technologies with inexplicable art of human understanding. As a student you will take part in real projects, working with the team through all the 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.

Software Engineering

Python, TensorFlow, Git, Storage Technologies, MapReduce, Hadoop, Project management, Distributed Computing Systems, Project management Practice, Agile

Analytics

Business Analysis, Frontiers in Big Data Analytics and Artificial Intelligence, Information Theory and Cryptography, Technology Entrepreneurship

Machine Learning

Digital Images Processing, Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence, Methods of Operation Research, Formal Semantics

DOMAINS


Each student can select a domain of his own interest. Courses specified for domains are served by companies, which have a great experience in applying data analysis technique to solve cutting edge problems.

OIL & GAS
More Details
HEALTHCARE
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SOCIAL NETWORKS
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QUANTUM DATA SCIENCE
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TELECOMMUNICATIONS
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INSTRUMENTATION
More Details

SYLLABUS




Id

Course (section)

Workload

Terms

Credits

Hours

1

2

3

4

Study type

Sum-
mative

101

Business Analysis

4

144

4

     

L W

E

201

Data Mining Tools & Languages

4

144

4

     

L PM

E

401

Methods of Operations Research

5

180

5

     

L W

E

001

Philosophy of Computer Science

2

72

2

     

L

P

301

Team Management

2

72

2

     

L W

P

502

Information Theory and Cryptography

5

180

5

       

P

 

Adaptation courses

               

702

Russian language

2

72

2

     

PM

E

Theory of Probability and Statistics

402

Machine Learning

4

144

 

4

   

L PM

E

202

Storage Technologies

4

144

 

4

   

L PM

E

302

Project Management

3

108

 

3

   

L W

E

002

Frontiers in Computer Science

3

108

 

3

   

L

E

203

Digital Image Processing

3

108

   

3

 

L PM

E

204

Distributed Computing Systems

4

144

   

4

 

L PM

E

303

Product Management and Entrepreneurship

4

144

   

4

 

L PM

E

 

Elective courses 1 of 2

               

405

Knowledge Management

3

108

 

3

   

L PM

P

Applied Probability and Statistics

 

Elective courses 1 of 2

               

403

Natural Language Processing

4

144

 

4

   

LPM

E

506

Mathematical Models of Decision-Making

 

Elective courses 2 of 4

               

701

Academic Writing

3

108

   

3

 

PM

P

604

Application aspects of social data processing

603

Biomedical Engineering

605

Web Mining

 

Scientific Seminar "Big Data Analytics"

8

288

2

2

2

2

PM

P

M4

Thesis defense

6

216

     

6

   
 

The whole program workload

120

4320

30

30

30

30

   

Legend:

  • L - lecture
  • PM - practice
  • W - workshop
  • P - pass/test 
  • E - examination

Faculty


Evgeniy Pavlovskiy

PhD in Math, certified EMC Data Science Associate.

Yuri Anikin

PhD in Tech, director of Futurolab LLC.

Denis Bondarenko

Chief Technology Officer at IMTS.Pro, Storage Technology courses lecturer

Alexander Savostyanov

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

 

Grigoriy Khazankin

Certified CCNA, leading engineer at Research Institute of Physiology, Distributed Computing Systems and Biomedial Engineering course lecturer.

Valeria Idrisova

Engineer-researcher at Sobolev Institute of Mathematics.

Vadim Polyuga

Entrepreneur, recognized tracker at FRII fund.

Vyacheslav Mukhortov

Project Management course lecturer, director of Inteks LLC.

If you want to be as successful as our team welcome to the Program!

Students life


Admission


Foreigners

Tuition fee: $5'200 (USD) per year.

Deadline for application: 15st of June, 2019.

You also may apply for scholarship from Russian Government, which covers full tuition and monthly stipend. Deadlines are special for countries.

Apply for scholarship

Have questions?

Chat with us, we are online!

Campus


Academgorodok

55 academy research institutions
60 applied research institutions
Novosibirsk State University
25 state higher education institutions
Academpark - IT and Hi-tech Innovation Cluster and Incubator
Total of 100 large and 1700 medium and small hi-tech companies
Including headquarters or offices of
Parallels
Vector - world famous Biotechnology center
Microsoft
Yandex

Novosibirsk

2,65 million inhabitants
12,1 billion € GRP
30 large industrial enterprises
65 % of GRP are services

CONTACT US


630090 Pirogova Street, 2
Novosibirsk, Russia

pavlovskiy@post.nsu.ru

+7 913 911 7907

Telegram me: https://t.me/EuXsun

The Program "Big Data Analytics & Artificial Intelligence" provides participation both foreign students and graduates of the Russian higher education institutions.
The program candidates must hold a bachelor's degree or its equivalent. The University offers help with the validation of the diploma for the Russian education system. An applicant receives a personal conditional offer upon successful evaluation of the application package.
All students must have proven English language proficiency before enrolling and must provide an English Language Proficiency Certificate. Applicants who are graduates of bachelor's programs, on which the official language of instruction was English, are exempt from providing a language certificate.

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