Overview
The objective of the Biocomputational Engineering program at the University of Maryland is to provide a breadth of fundamentals in biology and quantitative problem solving while developing skills in computation and data science that can be applied to the modeling of complex biological systems and the analysis of complex biological data sets in order to create new knowledge from the molecular to organ to system levels, and to develop innovative processes for the prevention, diagnosis, and treatment of disease. The synthesis of bioengineering, computation, and data science gives the graduates unique capabilities to solve existing and emerging challenges of the modern medical world.
Learning outcomes
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- An ability to communicate effectively with a range of audiences.
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Programme Structure
Courses include:
- Differential Equations for Scientists and Engineers
- General Physics: Mechanics and Particle Dynamics
- General Physics: Vibration, Waves, Heat, Electricity and Magnetism
- General Physics: Vibrations, Waves, Heat, Electricity and Magnetism (Laboratory)
- Engineering Design
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- College Park, United States
Disciplines
Biotechnology General Engineering & Technology Bioinformatics & Biostatistics View 140 other Bachelors in Bioinformatics & Biostatistics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Completed online application
- We strongly encourage you to apply by the early action deadline to receive priority consideration for admission, merit-based scholarships and invitations to special programs. Applications must be completed online.
- Non-refundable application fee of $75
- Two letters of recommendation
- Two letters of recommendation are required for a completed application: one from your school counselor and one from a teacher.
- Official copy of your high school transcripts
- Official copy of your college transcripts (if necessary)
- Activities and awards list or resume
- Essay
Tuition Fees
-
International Applies to you
Applies to youNon-residents40254 USD / year≈ 40254 USD / year - Out-of-State40254 USD / year≈ 40254 USD / year
-
Domestic
Applies to youIn-State10490 USD / year≈ 10490 USD / year
Living costs
College Park
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Biocomputational Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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