Massachusetts Institute of Technology (MIT) Multiple locations
Boston , Massachusetts , United States
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Featured byMIT Professional Education
Overview
What you will study
Organizations on the leading edge of bioprocess data analytics have already seen dramatic improvements in pharmaceutical batch optimization, manufacturing scalability, and regulatory efficiency.
To help you take advantage of these revolutionary developments—and drive breakthroughs of your own—MIT Professional Education is pleased to introduce the Bioprocess Data Analytics and Machine Learning course offered by Massachusetts Institute of Technology .
In this intensive, three-day course, you’ll gain:
- A greater understanding of how bioprocess data analytics can be applied to develop and improve biotherapeutic manufacturing
- Insight into important advances in data analytics, machine learning methods, and software that provide new ways to build models, diagnose problems, and make informed decisions
- An introduction to new sensor technologies, including spectral imaging and real-time color video, and the major classes of data analytics and machine learning methods used in bioprocess operations
- Tools to systematically interrogate the data to ascertain specific characteristics needed to select among the best-in-class data analytics methods
Programme Structure
The program focuses on:
- Apply new sensor technologies relevant to biopharmaceutical manufacturing processes, such as spectral imaging and real-time color video
- Understand major classes of data analytics and machine learning methods relevant to bioprocess operations
- Systematically interrogate bioprocess data to ascertain characteristics (such as nonlinearity, multicollinearity, and dynamics)
- Select among the best-in-class data analytics methods based on the objective and data characteristics
- Summarize ways to combine data-driven models with mechanistic understanding
- Avoid common pitfalls when analyzing bioprocess data
Key information
Duration
- Full-time
- 3 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
2 alternative credits
Delivered
On Campus
Disciplines
Machine Learning Data Analytics View 271 other Short Courses in Machine Learning in United StatesWhat students do after studying Computer Science & IT
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Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Massachusetts Institute of Technology (MIT) and/or in United States, please visit Student Insurance Portal.
Other requirements
General requirements
- Participants should have some experience in data analytics and bioprocesses.
- In addition, participants must be professionals with experience working in the pharmaceutical or biopharmaceutical industry.
Tuition Fee
To always see correct tuition fees
-
International
3500 USD/fullTuition FeeBased on the tuition of 3500 USD for the full programme during 3 days. -
National
3500 USD/fullTuition FeeBased on the tuition of 3500 USD for the full programme during 3 days.
Living costs for Boston
1560 - 3239 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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