Big Data, M.Eng.

  • Application Deadline
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  • English (book IELTS)
, CT,
The 30-credit hour Master of Engineering in Big Data prepares students for positions in data science conducting high volume data management, predictive analysis, and visualization. Students completing the degree will develop hands on skills essential to data-driven decision-making.


They will use, analyze, and evaluate the technology, algorithms, and architecture applied to meet Data Science challenges in an enterprise setting.Graduates will be able to design innovative solutions in consideration of economic and societal interests into account. They will work in teams and communicate successfully, leveraging networks and knowledge with ethical behavior. They will also manage projects and time effectively, respect and embrace diversity and cultures, and be flexible and adaptive.

Graduates of our program will have developed skills in the following key areas that high performing Data Scientists in the industry have mastered:

  • Background knowledge: Understanding the Statistics and Machine Learning that goes on underneath the algorithms a Data Scientist uses.
  • Coding ability: Comfort with the coding techniques and tools required to build Data Science products.
  • Practical Industry Experience: The ability to work with real world clients, listen to business challenge and effectively transform and communicate how the challenge can be met by a Data Science solution.
  • The master’s program is designed to prepare students for a career in Data Science through intensive curriculum and practical training.

    Programme Structure

    Courses include:

    • Mathematics for Data Scientists
    •  Data Exploration, Feature Engineering, and Statistics for Data Scientists 
    •  Machine Learning and Data Analysis 
    • Unstructured Data and Natural Language Processing 
    • Data Science Leadership and Entrepreneurism 
    • Distributed and Scalable Date Engineering
    • Special Topics in Data Science 
    • Data Science Focus Elective
    • Data Science Industry Internship 

    Detailed Programme Facts

    • Programme intensity Full-time
    • Credits
      30 alternative credits
    • Languages
      • English
    • Delivery mode
      On Campus

    English Language Requirements

    You only need to take one of these language tests:

    • Minimum required score:


      The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

      Book IELTS
    • Minimum required score:


      The TOEFL – or Test Of English as a Foreign Language – offers an internet-based test (iBT). The final, overall iBT score ranges between 0 and 120, and includes a scaled average from the four components (reading, listening, speaking, and writing). Read more about TOEFL (iBT).

    Academic Requirements

    • A completed application form. 
    •  Official transcript(s) from all colleges and universities attended 
    •  Three letters of recommendation. Letters should come from persons familiar with the applicant's academic or work-related skills, performance, and promise. Typically, recommenders are current or former professors and/or employers.
    •  Personal statement. In the 1-2 page Personal Statement applicants should address: 1) reasons for pursuing an advanced degree in the field of data science and 2) professional goals and how a degree from our program relates to those goals. 
    • Resume 

    Tuition Fee

    • International Applies to you

      18490 USD/year
      Tuition Fee
      Based on the original amount of 9245 USD per semester and a duration of  .
    We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
    National - $870 per credit

    Living costs for New Haven

    • 1380 - 2110 USD/month
      Living Costs

    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


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