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Analytics and Data Science

Basic information of the minor

Code: T280-C

Extent:

  • 22 cr for students of Aalto technical schools (as a special module C)
  • 24 cr for students of School of Art, Design and Architecture and the School of Business

Language: English

Professors in charge: Associate professor Aristides Gionis ICS/SCI & Assistant professor Pekka Malo ISE/BIZ

Target group: All Aalto Master students who want to sharpen their data analysis skills and be educated on how data science methods are applied in different domains.

Application procedure: If you are interested in taking the module, please contact the planning officer of the Degree Programme in CSE (https://into.aalto.fi/display/entik/Contact+information). The student needs to have confirmed her/his personal study plan (HOPS) before enrolling to the module.

Quotas: No quotas for the minor; separate courses may have space for only a limited number of students. If you are not admitted to a course, you will have to choose another course.

Prerequisites: No prerequisites for the minor as a whole, but some courses may have their own prerequisites. The prerequisites can be checked in the course descriptions; if in doubt, please consult the teacher of the course.

Content and structure of the minor

We live in the information age, where a deluge of data is being generated by human activity, scientific data collection processes, business transactions, and adoption of new technologies. Distilling the knowledge contained in such big volumes of data has the potential to transform science, technology, business, and arts, and it can revolutionize how the human society is organized and how it functions. Data science is a new discipline that has emerged and it has the objective to provide the underlying theory and the necessary tools to cope with the data revolution. The goal of the Analytics and data science module / minor in Aalto is to educate students on how to become proficient in making sense of such big data, and how to apply data analysis skills on their domain of expertise.

Depending on the student’s degree structure the module can be included as part of the master’s degree as a personal special module (students of the schools of technology at Aalto) or as a minor subject (students of Aalto BIZ and Aalto ARTS). The module is structured in four subareas, and students need to complete courses from different subareas, as indicated in the course description below.

Structure

The module is composed of elective courses on four subareas:

SF: Statistical foundations
CM: Computational methods
BA: Business analytics
AP: Applications

Subarea

Code

Name

Credits

Period

1) COMPULSORY COURSE

 

ICS-E4010

Introduction to Analytics and Data Science

2

I

2) AT LEAST ONE COURSE FROM THE SF SUBAREA

SF

Becs-114.1311

Introduction to Bayesian Statistics

3

III

SF

Becs-114.2601

Bayesian Modeling

5

I-II

SF

MS-C2104

Introduction to Statistical Inference (in Finnish only)

5

III-IV

SF

MS-C2128

Prediction and Time Series Analysis (in Finnish only) *

5

II

SF

30E00800

Time Series Analysis*

6

IV-V

3) AT LEAST ONE COURSE FROM THE CM SUBAREA

CM

T-61.3050

Machine Learning: Basic Principles

5

I

CM

T-61.5060

Algorithmic Methods of Data Mining

5

I-II

CM

T-61.5010

Information Visualization

5

III

CM

CSE-E5430

Scalable Cloud Computing

5

I-II

 

T-110.5121

Mobile Cloud Computing

5

I-II

4) SELECT AT LEAST ONE FROM THE FOLLOWING

BA

Mat-2.3134

Decision Making and Problem Solving

5

I

BA

23E47000

Digital Marketing

6

I, V

BA

30E03000

Data science for Business

6

III

BA

37E01600

Data Resources Management

6

III

BA

57E00500

Capstone: Business Intelligence

6

I

AP

Becs-114.4150

Complex Networks

3-6

II

AP

Becs-E4101

Mathematical Modeling of Social Dynamics

3-6

II (2015)

AP

Maa-123.3585

Spatial Data Mining

3-5

V

AP

Maa-123.3530

Visual Analysis

4

II

AP

Mat-2.2103

Design of Experiments and Statistical Models (in Finnish only)

5

III

AP

Mat-2.4177

Seminar on Case Studies in Operation Research (in Finnish only)

5

III-IV

AP

S-89.5150

Speech Recognition

5

II

* The courses MS-C2128 and 30E00800 are alternative, i.e. student can include only one in the degree.

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