Big Data Analytics

The innovative project-oriented training 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

SCIENCE and TECH


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

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

Data Mining Tools & Languages, Storage Technologies, Advanced Project management, Virtualization and Consolidation, Big Data in the Cloud, Programming in Scala.

Analytics

Business Analysis, Business Scaling, Frontiers in Computer Science, Knowledge Management, Data Warehouse, Algorithm Analysis.

Machine Learning

Statistics & Algorithms, Machine Learning, Natural Language Processing, Artificial Intelligence, Decision-Making Theory, Signal Processing.

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.

BIOINFORMATICS
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HEALTHCARE
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SOCIAL NETWORKS
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COGNITIVE DATA SCIENCE
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TELECOMMUNICATIONS
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INSTRUMENTATION
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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

Statistics & Algorithms

4

144

4

     

L W

E

001

Philosophy of Computer Science

2

72

2

     

L

P

402

Machine Learning

4

144

 

4

   

L PM

E

202

Storage Technologies

4

144

 

4

   

L PM

E

301

Team management

2

72

2

     

L W

P

302

Project management

2

72

 

2

   

L W

E

303

Product management & Entrepreneurship

4

144

   

4

 

L W

E

 

Adaptation courses 1 of 3

               

701

Academic Writing

2

72

2

     

PM

E

702

Russian language

703

Statistics

M2

                 

203

Signal Processing

3

108

   

3

 

L PM

E

403

Natural language processing

4

144

 

4

   

LPM

E

204

Virtualization and Consolidation

4

144

   

4

 

L PM

E

002

Frontiers in Computer Science

3

108

   

3

 

L

E

405

Knowledge management

3

108

3

     

L PM

P

205

Processing big data with cloud-based technologies

4

144

 

4

   

L PM

P

603

Biomedical Engineering

6

216

2

2

2

 

W

P

 

Elective courses 1 of 2

9

324

           

502

Data Warehouse

3

108

 

3

     

P

504

Programming in Scala

 

Elective courses 1 of 3

               

505

Project management with Theory of Constraints

3

108

   

3

 

L PM

P

506

Decision-making theory

507

Algorithm analysis

M3

Practices and R&D

35

1260

5

5

9

16

 

P

 

Scientific Seminar "Big Data"

8

288

2

2

2

2

PM

P

M4

Final state certification, including thesis defense

12

432

     

12

   
 

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.

Alexander Zyryanov

Data Scientist at Expasoft LLC., Data Mining Tools & Languages, Machine Learning courses lecturer

Alexander Savostyanov

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

 

Azat Mirzagitov

PhD student, Natural Language Processing course lecturer.

Grigoriy Khazankin

Certified CCNA, leading engineer at Research Institute of Physiology.

Evgeniy Leutskiy

Data Warehouse course lecturer.

Vladimir Dyubanov

Siberian leading Data Scientist.

Crunchbase

 

Vyacheslav Mukhortov

Project Management course lecturer, director of Inteks LLC.

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

Admission


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

For Russian applicants there is a budget quota, please apply.

Please follow the instructions under the button for admission process.

Admission process

Scholarship from Russian Government covers full tuition and monthly stipend. Deadline: June 15, 2016

Deadline passed :(

CONTACT US


630090 Pirogova Street, 2
Novosibirsk, Russia

pavlovskiy@post.nsu.ru

+7 913 911 7907

The Program "Big Data Analytics" 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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