Campuses:
This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.
Twin Cities Campus
Data Science in Astrophysics MinorAstrophysics, Minnesota Institute for
College of Science and Engineering
Link to a list of faculty for this program.
Contact Information
Minnesota Institute for Astrophysics, John T. Tate Hall, 116 Church Street S.E., Minneapolis, MN 55455 (612-624-4811; fax: 612-626-2029)
Email:
MIfA@umn.edu
The minor in Data Science in Astrophysics is designed to be interdisciplinary and integrates data science (statistics, data processing, artificial intelligence) with the field of astrophysics. Students pursuing the minor will receive the training needed to advance the field of astrophysics, while simultaneously preparing to be successful professionals and leaders in the modern data-driven workforce.
The curriculum covers the fundamental concepts in statistics, data processing and data management, as well as the modern machine learning and deep learning techniques needed for analyzing the ever-increasing astrophysics data-sets. Students will have opportunities to conduct frontier research projects using modern astrophysics data-sets, and will work in interdisciplinary teams mentored by interdisciplinary faculty. They will also have opportunities to develop their professional skills, such as communications and leadership.
Program Delivery
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program
is 3.00.
Special Application Requirements:
Students interested in the minor are strongly encouraged to confer with their major field advisor and director of graduate studies, and the Data Science in Astrophysics director of graduate studies regarding feasibility and requirements. A background in science, engineering, or statistics is preferred.
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
Use of 4xxx courses towards program requirements is not permitted.
Courses offered on both the A-F and S/N grading basis must be taken A-F, with a minimum grade of C earned for each course.
The minimum cumulative GPA for the minor is 3.00.
Required courses (8 credits)
Program Sub-plans
Students are required to complete one of the following sub-plans.
Students may not complete the program with more than one sub-plan.
Masters
Doctoral
Electives (4 credits)
Doctoral students select 4 additional credits in consultation with the Data Science in Astrophysics director of graduate studies to meet the 12-credit minimum.
AST 5022 - Relativity, Cosmology, and the Universe
(4.0 cr)
AST 8001 - Radiative Processes in Astrophysics
(4.0 cr)
AST 8011 - High Energy Astrophysics
(4.0 cr)
AST 8990 - Research in Astronomy and Astrophysics
(1.0-4.0 cr)
CSCI 5521 - Machine Learning Fundamentals
(3.0 cr)
CSCI 5523 - Introduction to Data Mining
(3.0 cr)
CSCI 5525 - Machine Learning: Analysis and Methods
(3.0 cr)
CSCI 5609 - Visualization
(3.0 cr)
CSCI 5707 - Principles of Database Systems
(3.0 cr)
EE 5239 - Introduction to Nonlinear Optimization
(3.0 cr)
EE 5251 - Optimal Filtering and Estimation
(3.0 cr)
EE 5531 - Probability and Stochastic Processes
(3.0 cr)
EE 5542 - Adaptive Digital Signal Processing
(3.0 cr)
EE 5561 - Image Processing and Applications: From linear filters to artificial intelligence
(3.0 cr)
EE 5571 - Statistical Learning and Inference
(3.0 cr)
EE 8591 - Predictive Learning from Data
(3.0 cr)
PHYS 8611 - Cosmic Rays and Plasma Astrophysics
(3.0 cr)
PUBH 7460 - Advanced Statistical Computing
(3.0 cr)
PUBH 8442 - Bayesian Decision Theory and Data Analysis
(3.0 cr)
STAT 5302 - Applied Regression Analysis
(4.0 cr)
STAT 5401 - Applied Multivariate Methods
(3.0 cr)
STAT 5421 - Analysis of Categorical Data
(3.0 cr)
STAT 5511 - Time Series Analysis
(3.0 cr)
STAT 5601 - Nonparametric Methods
(3.0 cr)
STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods
(3.0 cr)
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Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast 5731/Stat 5731 |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast 5731/Stat 5731 |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast/Stat/CSci 8581/Phys 8581 |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast/Stat/CSci 8581/Phys 8581 |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast/Stat/CSci 8581/Phys 8581 |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | Ast 5022/Phys 5022 |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 1.0 -4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | AEM 5451/EE 5251 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | EE 5561/EE 8541 |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |