官网 阿卡达应用科技大学

At Arcada, we are proud to introduce the new Master’s Degree Programme in Big Data Analytics.

Software encompasses all industries today and extraordinary amounts of data are generated with every passing hour. To find patterns in and being able to handle this enormous amount of data opens for better and more precise fact-based decision-making. Companies and organisations have already realized the opportunities this brings and there is a continuously growing demand for trained big data analytics developers today.

These studies give you an in-depth understanding of how to make use of data in order to create insights.  The programme is arranged so that you rapidly gain a broad understanding of the essential concepts of big data analytics; descriptive and predictive modelling, as well as optimization. The program emphasizes the importance of understanding how to build analytical solutions with production level code.

This programme is intended for people with experience in programming and software development, who are curious about and comfortable with solving data-related problems by applying logical and mathematically inspired methods. We welcome applicants who have identified service-development opportunities when using machine-learning methods for taking on challenges in data analytics.

Please note that master students are not entitled to study-related social benefits such as discount tickets for HSL, VR or Matkahuolto unless you are a member of the student union ASK. However, the Kela Meal Subsidy Card is granted to all degree students. More detailed information about these discounts is found in Arcada’s study guide.   

In short

What you will learn

  • Programming for analytical services
  • Data analytics
  • Machine learning
  • Data engineering
  • Data visualization
  • Descriptive data mining
  • Predictive forecasting
  • Automation of prescriptive decisions
  • Data science and verification of model results
  • Planning and development of analytical solutions

Examples of future positions

Graduates will be able to work with a wide range of tasks in various industries. Positions include development and conventional managerial positions, e.g.:

  • Big data analytics developer
  • Big data analytics manager
  • Data engineer
  • Data scientist
  • Principal or senior software developer
  • Head of analytics
  • Head of development
  • Senior analyst
  • Consultant

    Take on real-world challenges

    As a student you will be involved in projects connected to real-world problems that includes elements of both group work and individual achievements. The focus on real-world challenges emphasizes disruptive problem solving through analytics service development. Communication and business knowhow is emphasized both through data visualization and traditional pitching.

     

    A research-oriented environment

    Our research covers a wide range of interests in analytics and machine learning that you as a student can benefit from when pursuing your own domain applications. These include malware detection, text analytics (e.g. content classification), network intrusions detection, Internet of things, object recognition in images and video, and financial analytics.

    Specialize according to your own interests

    The Master’s thesis project (30 ECTS) consists of a development or research project for a client (e.g. your employer) or a collaboration with Arcada’s researchers, followed by a thesis report. In some cases this can be part of the students entrepreneurial activities. You start working towards your thesis project immediately and get to show your capability of systematically performing a project with a practically applied problem as a starting point. Based on the development needs of the client/researcher you then develop the thesis project in close co-operation with your supervisor and contact person at the commissioning company.

    A solid foundation for your future career

    By participating in this master’s degree programme you will significantly broaden your opportunities for career advancement. Big data analytics is a horizontal skill that can be applied in most fields as they increasingly become data driven. You will get the opportunity to learn a broad set of techniques for dealing with data of various types.

    Application

    The Master’s degree programme in Big Data Analytics

    We have gathered detailed information about how the application and admission processes at Arcada work in the section Master’s Application. There you will receive help with applying to our degree programmes through the national study portal studyinfo.fi. You will find all the important dates for your application and can read more  about e.g. eligibility, selection criteria and which documents you have to send us when applying.

    Eligibility

    To apply to this programme you need to have a Bachelor level Engineering degree in Information Technology, Computer Science, or a similar field deemed to include sufficient technical skills and scientific rigor. The degree must include a minimum of 30 ECTS programming subjects at Bachelor level.

    In addition, you must have a minimum of three (36 months) years relevant work experience gained after the completion of the Bachelor’s degree. 
    The work experience should be with tasks including Software engineering and software development. Please read more about eligibility.

    Application methods

    You can apply to the Master’s degree programme in Big Data Analytics with a GRE test or on the basis of previous studies within the field.  Please read more about the two different application methods.

    Additional application announced!

    There are still a vacant study places in this programme. Application will open in July. Read more here.

要申请此工作 请将您的详细情况发送到以下邮箱 info@hiias.com