Environmental Analysis Coursework

Recommended Background

Applicants for the Professional Master's in Environmental Analysis must have:

  • B.S. or B.A. degree in a related field
  • Completed course work in chemistry, biology or physics, calculus, differential equations, and linear algebra
  • Scores form the general Graduate Record Examination (GRE)
  • Strong quantitative abilities
  • Statistics and computer skills are preferred, but not required

Coursework

The Environmental Analysis program focuses on the quantitative and analytical aspects of environmental studies. The degree is composed of nine required science core hours, nine required cohort hours (which includes the internship) and 21 credit hours of program track elective courses. The Environmental Analysis degree requires a total of 39 credit hours, not including the internship.

Required Courses:

Required Science Core Courses:

CEVE 501 CHEMISTRY FOR ENVIRONMENTAL ENGINEERING AND SCIENCE

or CEVE 510 PRINCIPLES OF ENVIRONMENTAL ENGINEERING

BIOS 571 ECOSYSTEM MANAGEMENT

STAT 685 ENVIRONMENTAL STATISTICS AND DECISION MAKING

Cohort Courses:

Required Cohort courses (9 hrs):

NSCI 501 PROFESSIONAL MASTER'S SEMINAR (1 credit hour)

NSCI 501 PROFESSIONAL MASTER'S SEMINAR (1 credit hour)

NSCI 511 SCIENCE POLICY, AND ETHICS

NSCI 512 PROFESSIONAL MASTER'S PROJECT (1 credit hour)

NSCI 610/ ENGI 610 MANAGEMENT FOR SCIENCE AND ENGINEERING

Internship

An internship under the guidance of a host company, government agency, or national laboratory. A summary of the internship project is required in both oral and written form as part of the Professional Master’s Seminar.

Program Track Electives

Students will choose 21 credit hours elective courses from the following three focus areas and satisfying the following requirements:

  • one course (3 credits) from each of BIOS, CEVE and STAT i.e. total of 9 credits

  • one course (3 credits) from the Management and Policy focus area,

  • three courses (9 credits) from one focus area

Recommended courses include, but are not limited to, the following:

Environmental Sustainability

CEVE 501 CHEMISTRY FOR ENVIRONMENTAL ENGINEERING AND SCIENCE

CEVE 502 SUSTAINABLE DESIGN

CEVE 507 ENERGY AND THE ENVIRONMENT

CEVE 508 INTRODUCTION TO AIR POLLUTION CONTROL

CEVE 509 HYDROLOGY AND WATER RESOURCES ENGINEERING

CEVE 511 ATMOSPHERIC PROCESSES

CEVE 518 ENVIRONMENTAL HYDROGEOLOGY

CEVE 520 ENVIRONMENTAL REMEDIATION RESTORATION

CEVE 523 APPLIED SUSTAINABLE PLANNING AND DESIGN

CEVE 534 FATE AND TRANSPORT OF CONTAMINANTS IN THE ENVIRONMENT

CEVE 535 PHYSCIAL CHEMICAL PROCESSES FOR WATER QUALITY CONTROL

CEVE 536 ENVIRONMENTAL BIOTECHNOLOGY AND BIOREMEDIATION

CEVE 550 ENVIRONMENTAL ORGANIC CHEMISTRY

DSCI 535 APPLIED MACHINE LEARNING AND DATA SCIENCE PROJECTS

BIOS 523 CONSERVATION BIOLOGY

BIOS 532 ECOLOGY

EBIO 560 ENVIRONMENTAL IMPACT STATEMENTS AND PERMITTING

BIOS 563 TOPICS IN ECOLOGY

BIOS 568 TOPICS IN BIOLOGICAL DIVERSITY

BIOS 569 CORE COURSE IN ECOLOGY AND EVOLUTIONARY BIOLOGY

BIOS 573 CORAL REEF ECOSYSTEMS

BIOS 580 SUSTAINABILITY DEVELOPMENT AND REPORTING

BIOS 595 TOPICS IN ENVIRONMENTAL SCIENCE

ESCI 618 QUANTITATIVE HYDROGEOLOGY

ESCI 654 GEOGRAPHIC INFORMATION SCIENCE

ESCI 699 GRAPHIC AND VISUAL DESIGN FOR SCIENTIST

GLHT 411 INTERGRATED APPROACHES TO SUSTAINABLE DEVELOPMENT

Management and Policy

CEVE 506 ENVIRONMENTAL LAW

CEVE 528 / ENGI 528 ENGINEERING ECONOMICS

CEVE 529 / ENGI 529 ETHICS AND ENGINEERING LEADERSHIP

ESCI 615 DECISION MAKING AND ECONOMICS IN THE ENERGY INDUSTRY

ECON 437 / ENST 437 ENERGY ECONOMICS

ECON 480 / ENST 480 ENVIRONMENTAL ECONOMICS

GLBL 543 ENERGY POLICY

MGMT 609 MANAGING ENERGY TRANSITIONS

MGMT 610 FUNDAMENTALS OF THE ENERGY INDUSTRY

MGMT 661 INTERNATIONAL BUSINESS LAW

MGMT 670 OPERATIONS STRATEGY

MGMT 676 SOCIAL ENTERPRISE

MGMT 721 BUSINESS LAW

Quantitative Decision Making

BIOS 538 BIO DATA ANALYSIS

ECON 437 / ENST 437 ENERGY ECONOMICS

CEVE 528 / ENGI 528 ENGINEERING ECONOMICS

DSCI 535 APPLIED MACHINE LEARNING AND DATA SCIENCE PROJECTS

ESCI 571 DATA SCIENCE TOOLS, METHODS AND BEST PRACTICES

ESCI 654 GEOGRAPHIC INFORMATION SCIENCE

STAT 553 BIOSTATISTICS

STAT 605 R FOR DATA SCIENCE

STAT 606 SAS STATISTICAL PROGRAMMING

STAT 615 REGRESSION AND LINEAR MODELS

NOTE: Each of these courses is not offered every year, and some courses may have pre-requisites that require instructor permission.

The General Announcements (GA) is the official Rice curriculum. In the event that there is a discrepancy between the GA and any other websites or publications, the GA shall prevail as the authoritative source.

Visit the GA for Environmental Analysis curriculum here