Biotechnology Innovation and Computation

M.Sc.

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Carnegie Mellon University

Course Overview

BIC students often become successful entrepreneurs armed with a wealth of practical skills, experience, and concrete value-creation capabilities. Those who choose to take a position with an established company enter the market as professionals trained in the latest generation of computational and data engineering technology and best practices. BIC graduates are perfectly poised to create immediate value in any startup or established organization. Our students apply techniques from machine learning, big data analytics, data mining and information retrieval to solve important problems in a wide range of domains. They learn to solve these problems by correctly capturing the information need, identifying resources, designing analytic pipelines, coding required modules and integrating emerging technologies into an effective solution. Once they hit the workforce, our graduates can quickly assemble teams, identify challenges and create innovative solutions to problems. BIC students have founded several successful startups from the projects they worked on within the program. For those who did not choose the entrepreneurial path, our graduates boast the highest average starting salaries of any professional master's program at Carnegie Mellon in 2013, 2014 and 2015, and we currently have a 100 percent placement rate. Our alumni are data scientists, software engineers, and technical executives in the software, manufacturing and bio-science industries.

Program Outline

Course Overview

  • Teaching method: Face to Face
  • This Program is taught in: English

Ratings:

  • Course rating:
  • University rating:
  • Value for money:

Fees:

  • Domestic Students: 43,000 USD (43,000 USD)
  • International Students: 43,000 USD (43,000 USD)

Address

Carnegie Mellon University, United States

Course Overview

BIC students often become successful entrepreneurs armed with a wealth of practical skills, experience, and concrete value-creation capabilities. Those who choose to take a position with an established company enter the market as professionals trained in the latest generation of computational and data engineering technology and best practices. BIC graduates are perfectly poised to create immediate value in any startup or established organization. Our students apply techniques from machine learning, big data analytics, data mining and information retrieval to solve important problems in a wide range of domains. They learn to solve these problems by correctly capturing the information need, identifying resources, designing analytic pipelines, coding required modules and integrating emerging technologies into an effective solution. Once they hit the workforce, our graduates can quickly assemble teams, identify challenges and create innovative solutions to problems. BIC students have founded several successful startups from the projects they worked on within the program. For those who did not choose the entrepreneurial path, our graduates boast the highest average starting salaries of any professional master's program at Carnegie Mellon in 2013, 2014 and 2015, and we currently have a 100 percent placement rate. Our alumni are data scientists, software engineers, and technical executives in the software, manufacturing and bio-science industries.

Program Outlines

Course Overview

  • Teaching method: Face to Face
  • This Program is taught in: English

Ratings:

  • Course rating:
  • University rating:
  • Value for money:

Fees:

  • Domestic Students: 43,000 USD
  • International Students: 43,000 USD

Address

Carnegie Mellon University, United States

What career paths do people with a Masters in Biotechnology take?

  • Research 20.7
  • Engineering 14.3
  • Education & Academics 14
  • Business Development 11
  • Healthcare Services 7.2
  • Entrepreneuership 5.9
  • IT 4.5
  • Operations 4.2
  • Project Management 3.2
  • Quality Assurance 3

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