Programs

Bloomington Campus

Master of Science in Environmental Science Joint Degree Programs

Dual M.S.E.S. - M.S. Intelligent Systems Engineering

Master of Science in Environmental Science–Master of Science in Intelligent Systems Engineering (M.S.E.S.–M.S.I.S.E)

Students must earn at least 51 credits in total, including at least 21-credits each in the M.S.E.S. and M.S.I.S.E. programs. The M.S.E.S. and M.S.I.S.E. degrees are awarded concurrently after the student has completed the requirements for both degrees.

MSES Core Requirements (9 credit hours)

These courses establish the fundamental competencies required of environmental engineers and scientists.

The following two courses:

SPEA-E 513 Environmental Project Management (3 cr.)
SPEA-E 538 Statistics for Environmental Science OR (3 cr.)
SPEA-V 506 Statistical Analysis for Effective Decision Making (3 cr.)

Note: With demonstration of prior coursework in statistics and/or probability theory, these credits can be replaced with any course from the next list.  

Select one course from the following list:

SPEA-E 431 Water supply and Wastewater Treatment (3 cr.)
SPEA-E 515 Fundamentals of Air Pollution (3 cr.)
SPEA-E 520 Environmental Toxicology (3 cr.)
SPEA-E 527 Applied Ecology (3 cr.)
SPEA-E 536 Environmental Chemistry (3 cr.)
SPEA-E 550 Soil Science and Management (3 cr.)
SPEA-E 564 Organic Pollutants: Environmental Chemistry and Fate (3 cr.)
SPEA-E 574 Energy Systems in Transition (3 cr.)
Economics, Management, and Policy Core Competencies (6 credit hours)

Justification: Courses in this section provide context for environmental and intelligent systems engineering, including how science impacts and is impacted by social, political, and economic systems.

SPEA-E 543 Environmental Management (3 cr.)
SPEA-E 560 Environmental Risk Analysis (3 cr.)
SPEA-P 539 Management Science for Public Affairs (3 cr.)
SPEA-P 541 Benefit Cost Analysis (3 cr.)
SPEA-R 512 Energy and Climate: Law and Policy (3 cr.)
SPEA-R 521 Domestic Environmental Policy (3 cr.)
SPEA-R 531 Water Law (3 cr.)
SPEA-R 532 Water Policy and Economics (3 cr.)
SPEA-R 533 Public Natural Resource Law (3 cr.)
SPEA-R 535 International Environmental Policy (3 cr.)
SPEA-R 625 Environmental Economics and Policy (3 cr.)
SPEA-R 643 Natural Resource Management and Policy (3 cr.)
SPEA-R 645 Environmental Law (3 cr.)
SPEA-R 674 Energy Economics and Policy (3 cr.)
SPEA-S 596 Sustainable Development (3 cr.)
SPEA-V 517 Public Management Economics (3 cr.)
SPEA-V550 Energy Law and Policy (3 cr.)
SPEA-X 511 Human Behavior and Energy Consumptions (3 cr.)

Other SPEA courses may be approved by advisor.

MSISE Core Requirements (7 credit hours)

These courses establish the fundamental competencies required of environmental engineers and scientists.

The following two courses:

ENGR-E 500 Introduction to Intelligent Systems Engineering (1 cr.)
SPEA-E 552 Environmental Engineering (3 cr.)

Select one course from the following list:

ENGR-E 501 Introduction to Computer Engineering (3 cr.)
ENGR-E 502 Introduction to Cyberphysical Systems (3 cr.)
ENGR-E 503 Introduction to Intelligent Systems (3 cr.)
ENGR-E 504 Introduction to Bioengineering (3 cr.)
ENGR-E 505 Introduction to Nanoengineering (3 cr.)
ENGR-E 506 Introduction to Neuroengineering (3 cr.)
MSISE Computing Tools Requirements (3 credit hours)

Familiarity with multiple computing languages and the ability to learn to operate across them is a requisite skillset in this field.

Select at least 3 credits from the following courses:

ENGR-E 501 Introduction to Computer Engineering (3 cr.)
ENGR-E 502 Introduction to Cyberphysical Systems (3 cr.)
ENGR-E 503 Introduction to Intelligent Systems (3 cr.)
ENGR-E 511 Machine Learning and Signal Processing (3 cr.)
ENGR-E 516 Engineering Cloud Computing (3 cr.)
ENGR-E 517 High Performance Computing (3 cr.)
ENGR-E 533 Deep Learning Systems (3 cr.)
INFO-D 590 Data Science Onramp (variable topics) (1-3 cr.)
SPEA-E 555 Intro to Coding for Environment and Policy (1 cr.)
SPEA-E 555 Python Programming for Environment and Policy (1 cr.)
SPEA-E 555 Using R for Environment and Policy (1 cr.)

Note: Students may apply for a Computing Tools Waiver based on previously completed coursework or existing expertise, in which case these 3 credits would be replaced by an ENGR course with instructor approval. Other courses may be approved by advisor.

Experiential Requirement (0-3 credit hours)

Each candidate for the MS-ES/ISE dual degree program must obtain professionally relevant experience through one of the following options:

1. Approved Internship SPEA-E 589 or ENGR-E 591 (0-3 credit hours)
The student will work with the O'Neill Career Hub to arrange for a suitable internship. Internships vary greatly according to the expectations and requirements of the sponsor. Students are expected to give careful attention in the selection of an internship suitable to their professional goals. Typically, students do not use credit hours for the internship, and as a result, have minimal fees for the experience. However, students who want the additional credit hours can receive up to 3 credit hours for an internship involving the appropriate amount of work; these students will owe fees for the 3 credit hours.
2. Prior Professional Experience (3 credit hours)
Students who have had significant environmental management, computing, technical or design work experience in the past may receive 3 credit hours. To receive 3 credit hours, a student must have a minimum of one year’s work experience. Under no circumstances will prior professional experience credit and transfer credit total more than 12 hours. Students receiving prior professional experience credit should carefully plan the balance of their program with their faculty advisors.
Capstone Requirements (3 credit hours)

Each candidate for the MS-ES/ISE dual degree program should take a 3-credit hour course during which they participate in a team to carry out an integrative project that addresses a multidisciplinary problem, or the candidate should conduct a graduate-level research project that culminates in a publication or thesis. Capstone course credit may be double-counted in either Concentration or Tool Skill requirements.

The capstone requirement may be met in one of the following ways: 

SPEA-V 600 Capstone in Public and Environmental Affairs (sections with an environmental focus) (3 cr.)

Or an approved alternative course with a similar structure. Current approved courses include:

SPEA-E 517 BMP Design for Healthy Urban Watersheds (3 cr.)
SPEA-E 546 Stream Ecology (3 cr.)
SPEA-E 560 Environmental Risk Analysis (3 cr.)
ENGR-E 790 ISE Capstone Design I  (3 cr.)
ENGR-E 791 ISE Capstone Design II (3 cr.)
or Additional approved courses of a similar format

MS-ES/ISE DUAL DEGREE CONCENTRATION / TRACK (at least 20 credit hours) 

Courses taken for the concentration allow schools to acquire competency in tools, skills, methods, and approaches used in environmental science and intelligent systems engineering. Courses taken to fulfill requirements cannot be “double counted”

SPEA Environmental Science Electives

At least 6 credit hours must be selected from the following:

SPEA-E 514 Changing Landscape of Toxic-Chemical Regulation (3 cr.)
SPEA-E 517 BMP Design for Healthy Urban Watersheds (3 cr.)
SPEA-E 518 Vector Based GIS (3 cr.)
SPEA-E 520 Environmental Toxicology (3 cr.)
SPEA-E 529 Application of Geographic Information Systems (3 cr.)
SPEA-E 534 Restoration Ecology (3 cr.)
SPEA-E 540 Wetlands Ecology and Management (4 cr.)
SPEA-E 542 Hazardous Materials (3 cr.)
SPEA-E 545 Lake and Watershed Management (3 cr.)
SPEA-E 546 Stream Ecology (3 cr.)
SPEA-E 554 Groundwater Flow Modeling (3 cr.)
SPEA-E 555 Intro to Coding for Environment and Policy (1 cr.)
SPEA-E 555 Python Programming for Environment and Policy (1 cr.)
SPEA-E 555 Using R for Environment and Policy (1 cr.)
SPEA-E 555 Topics in Environmental Science (approved on an individual basis by an advisor) (1-4 cr.)
SPEA-E 556 Limnology (4 cr.)
SPEA- E 560 Environmental Risk Analysis (3 cr.)
SPEA-E 562 Solid and Hazardous Waste Management (3 cr.)
SPEA-E 591 Climate Change Impacts on Natural Resources (3 cr.)
Intelligent Systems Engineering Electives

At least 11 credit hours must be selected from the following:

ENGR-E 501 Introduction to Computer Engineering (3 cr.)
ENGR-E 502 Introduction to Cyberphysical Systems (3 cr.)
ENGR-E 503 Introduction to Intelligent Systems (3 cr.)
ENGR-E 504 Introduction to Bioengineering (3 cr.)
ENGR-E 505 Introduction to Nanoengineering (3 cr.)
ENGR-E 506 Introduction to Neuroengineering (3 cr.)
ENGR-E 510 Engineering Distributed Systems (3 cr.)
ENGR-E 511 Machine Learning and Signal Processing (3 cr.)
ENGR-E 512 Advanced Computer Architecture (3 cr.)
ENGR-E 513 Engineering Compilers (3 cr.)
ENGR-E 514 Embedded Systems (3 cr.)
ENGR-E 516 Engineering Cloud Computing (3 cr.)
ENGR-E 517 High Performance Computing (3 cr.)
ENGR-E 518 Engineering Networks (3 cr.)
ENGR-E 519 Engineering Operating Systems (3 cr.)
ENGR-E 522 Sensors and Remote Sensing (3 cr.)
ENGR-E 523 Internet of Things (3 cr.)
ENGR-E 525 Robotics I (3 cr.)
ENGR-E 531 Physical Optimization (3 cr.)
ENGR-E 532 Systems Engineering (3 cr.)
ENGR-E 533 Deep Learning Systems (3 cr.)
ENGR-E 534 Big Data Applications (3 cr.)
ENGR-E 537 Rapid Prototyping for Engineering (3 cr.)
ENGR-E 540 Computational Methods for 3-D Biomaterials (3 cr.)
ENGR-E 541 Simulating Cancer as an Intelligent System (3 cr.)
ENGR-E 551 Nanoscale Simulation and Engineering Applications (3 cr.)
ENGR-E 565 Image Processing for Medical Applications (3 cr.)
ENGR-E 583 Information Visualization (3 cr.)
ENGR-E 584 Scientific Visualization (3 cr.)
ENGR-E 599 Topics in Engineering (1-3 cr.)

Additional electives that may be used to meet the required total credit hours for the dual degree include any courses listed above not used to satisfy a degree requirement. Additional approved electives are included below from closely related disciplines. Courses not listed may be approved by an advisor with justification.

SPEA non-E courses

SPEA-I 516 Public Management Information Systems (3 cr.)
SPEA-I 519 Database Management Systems (3 cr.)
SPEA-I 611 Design of Information Systems (3 cr.)
SPEA-I 613 Implementation of Information Systems (3 cr.)
SPEA-P 507 Data Analysis and Modeling for Public Affairs (3 cr.)

Geography courses

GEOG-G 532 Physical Climatology (3 cr.)
GEOG-G 538 Geographic Information Systems (3 cr.)
GEOG-G 588 Applied Spatial Statistics (3 cr.)

Earth and Atmospheric Sciences courses

EAS-G 514 Geophysical Signal Analysis (3 cr.)
EAS-G 534 Dynamic Meteorology: Synoptic to Global Scale (3 cr.)
EAS-G 538 Air Pollution Meteorology (3 cr.)
EAS-G 540 Physical Meteorology and Climatology (3 cr.)
EAS-G 547 Instrumentation for Atmospheric Science (3 cr.)
EAS-G 548 Sustainable Energy Systems (3 cr.)
EAS-G 559 Earth Surface Processes (3 cr.)
EAS-G 564 Dynamic Meteorology: Boundary-layer Meteorology (3 cr.)
EAS-G 576 Climate Change (3 cr.)
EAS-G 594 Numerical Weather Prediction (3 cr.)
EAS-G 612 Inverse Methods in Geophysics (2 cr.)
EAS-G 690 Advanced Geology Seminar, Mathematical Modeling in the Geosciences  (3 cr.)

 Biology / Biotech courses

BIOL-B 572 Photobiology (3 cr.)
BIOL-L 510 Introduction to the Research Laboratory (3 cr.)
BIOL-L 519 Bioinformatics: Theory and Application (3 cr.)
BIOL-L 522 Advanced Eukaryotic Molecular Genetics (3 cr.)
BIOL-L 523 Critical Analysis of the Scientific Literature (1-6 cr.)
BIOL-L 560 Physiological Ecology (3 cr.)
BIOL-L 572 Microbial Ecology (3 cr.)
BIOL-L 575 Ecosystem Structure and Function (3 cr.)
BIOL-L 577 Theoretical Ecology (3 cr.)
BIOL-M 511 Molecular Biology of Prokaryotes (3 cr.)

Informatics courses

INFO-D 590 Data Science Onramp (variable topics) (1-3 cr.)
INFO-I 400/I590 Environmental Policy, Health & Design (3 cr.)
INFO-I 590 Smart Cities (3 cr.)

Information and Library Science courses

ILS-Z 503 Representation and Organization (3 cr.)
ILS-Z 510 Introduction to Information Studies (3 cr.)
ILS-Z 511 Database Design (3 cr.)
ILS-Z 512 Information Systems Design (3 cr.)

Mathematics courses

MATH-M 511/M 512 Real Variable I & II (3 cr.)
MATH-M 513/M 514 Complex Variables I & II (3 cr.)
MATH-M 540/M 541 PDEs I & II (3 cr.)
MATH-M 544/M 545 ODEs I & II (3 cr.)
MATH-M 571/M 572 Numerical Methods I & II (3 cr.)
MATH-M 671/M 672 Numerical Differential and Integral Equations I & II (3 cr.)

Physics courses

PHYS-P 555 Quantum Computation and Information (3 cr.)
PHYS-P 582 Biological and Artificial Neural Networks (3 cr.)
PHYS-P 583 Signal Processing and Information Theory in Biology (3 cr.)
PHYS-P 609 Computational Physics (3 cr.)
PHYS-P 610 Computational Physics II (3 cr.)

Statistics courses

STAT-S 501 Statistical Methods I (3 cr.)
STAT-S 503 Statistical Methods II (3 cr.)
STAT-S 520 Introduction to Statistics (3 cr.)
STAT-S 611 Statistical Computing (3 cr.)

Chemistry courses

CHEM-C 501 Chemical Instrumentation (3 cr.)
CHEM-C 503 Sptrometric Methods of Structure Determination (3 cr.)
CHEM-C 540 Advanced Organic Chemistry (3 cr.)
CHEM-C 565 Nuclear Chemistry (3 cr.)
CHEM-C 566 Molecular Optical Spectroscopy (3 cr.)
CHEM-C 567 Chmeical Statistical Mechanics (3 cr.)
CHEM-C 572 Computational Chemistry and Molecular Modeling (3 cr.)
CHEM-C 611 Electroanalytical Chemistry (1.5-3 cr.)
CHEM-C 612 Spectrochemical Methods of Analysis (1.5-3 cr.)
CHEM-C 613 Mass Spectrometryand Staple Isotopes (1.5-3 cr.)
CHEM-C 614 Chromatography (1.5-3 cr.)
CHEM-C 616 Surface Analysis and Surface Chemistry (1.5 cr.)
CHEM-C 633 Inorganic Chemistry of Main Group Elements (2 cr.)
CHEM-C 634 Transition Metal Chemistry (3 cr.)

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