Course Requirements

The Applied Chemical Sciences degree requires a minimum of 40 credit hours, not including the internship and it can be completed in 3 semesters. The total length of the program is 16 months or more, depending on the length of the internship. The curriculum is built on a framework of relevant chemistry courses, business/management, analytics, and professional development: i.e. communication training, research, and practical experience in form of an internship.

Required Cohort Courses

Required Cohort Courses	Credits
NSCI 501 (2 semesters required, 1 credit each)	2
NSCI 511 Science Policy and Ethics	3
NSCI 514 Internship	1
NSCI 512 Professional Master’s Project	1
NSCI 610/ENGI 610 Management for Science and Engineering	3
Total:	10

Note: Resources for these courses are already in place; faculty has been teaching the management course and the PSM Program Director has been hosting the seminar inviting guest speakers to campus since the inception of the program.

Required Core Chemistry Courses

Course	Credits
CHEM 590 Applied Chemical Sciences Seminar	3
CHEM 592 Statistical Data Analysis or BIOS 538 Bio Data Analysis	3
CHEM 591 Research Experience	3

CHEM 590 Applied Chemical Sciences Seminar Course: This course will be a seminar course that will bring in speakers from our industrial partners exposing the students to the different types of jobs available to them.

CHEM 592 Statistics Data Analysis: This course will focus on fundamental concepts of statistics, and its specific applications for analyzing chemical, biological and medical experimental data. The goal is to provide a solid theoretical background for the proper statistical description of experimental results and how to make correct conclusions from available observations. It is the belief of the department that our current graduate students could benefit from this course too.

BIOS 538 Analysis and Visualization of Biological Data: This course addresses how to analyze, visualize and draw conclusions from biological data. It introduces basic concepts in statistics interwoven with training in data analysis using the R computing environment. Students will learn to identify underlying data structures and wrangle data. Students will also learn to effectively convey results using statistical graphics. Topics include basic R programming, data exploration, statistical modeling, parameter estimation and interpretation, and model comparison. This class particularly focuses on biological data.

CHEM 591 Research Experience: This course would partner the students in a similar style to our undergraduate research course. The students will be matched with a PI during the admission process and work on a problem for a semester. There is no expectation of publication or independent work. The desired outcome of the experience is to expose the students firsthand to chemical research. The students will not be trained to go on in research but will gain valuable insight to interact with and teach others about research. This requirement could be waived or substituted with another course for part-time students with extensive lab experience with approval from the program advisor.

Areas of Specialization

In addition to the courses listed above, students will pick an area of specialization and choose 4 courses (12 credit hours) from that area.

Bioorganic Chemistry

Select 12 credit hours from the following:

Courses	Credits
CHEM 501 Advanced Organic Chemistry	3
CHEM 511 Spectral Methods Organic Chemistry	3
CHEM 542 Medicinal Chemistry	3
CHEM 547 Supramolecular Chemistry	3
CHEM 548 Peptide Chemistry	3
CHEM 554 Drug Discovery	3
CHEM 552 Chemical Biology or CHEM 562 Enzyme Mechanisms or BIOS 558 Environ. Health Risk Assessment	3

Computational Chemistry and Data Science

Select 12 credit hours from the following:

Courses	Credits
CHBE 505 Advanced Numerical Methods	3
CHEM 515 Chemical Kinetics	3
CHEM 523 Molecular Dynamics Methods	3
CHEM 537 Biophysical Chemistry	3
CHEM 551 Biomolecular Concepts	3
EEPS 585 Computation & Data Science in the Energy Industry	3
EEPS 587 Petroleum Geochemistry: Principals and Practice	3
STAT 532 Foundations of Statistical Inference I	3
STAT 533 Foundations of Statistical Inference II	3
STAT 535 Data Science Projects or STAT 630 Stat Designs for Clinical Trials	3

Chemistry for the Energy Industry

Select 12 credit hours from the following:

Courses	Credits
CHEM 533 Nanoscience & Nanotechnology	3
CHEM 511 Spectral Methods in Organic Chemistry	3
CHEM 547 Supramolecular Chemistry	3
CHEM 520 Classical & Stat Thermodynamics	3
CHBE 505 Advanced Numerical Methods	3
CHBE 517 Materials in Energy and Sustainability	3
CHBE 550 Petroleum Phase Behavior and Flow Assurance	3

Electives

Select 9 credit hours from electives in management, business, analytics, or communication courses

Courses	Credits
EEPS 585 Computation & Data Science in the Energy Industry	3
EEPS 587 Petroleum Geochemistry: Principals and Practice	3
ENGI 515 Leading Teams and Innovation	3
ENGI 614 Learning How to Innovate	3
MGMT 610 Fundamentals for the Energy Industry	1.5
MGMT 625 Design Thinking	1.5
MGMT 633 Life Science Entrepreneurship	1.5
MGMT 676 Leadership, Ethics and Free Enterprise	1.5
MGMT 686 Introduction to Marketing Research	1.5
MGMT 717 Project Management	1.5
MGMT 721 Business Law	1.5
MGMT 747 Regulatory Environment of Business	1.5
MGMT 771 Digital Marketing	1.5
NSCI 515 Foundations of Project and Program Management	3

Courses depend on the availability and coordination of courses with respective departments and the Jones School of Business.

Required Internship

Three to Six Month Full-Time Internship: Practical experience is offered via a three to six month full-time work immersion. The internship will be under the guidance of a host company, government agency, or non-profit organization. With approval of the advising faculty, a capstone project, independent study, or a research project can be used to fulfill the internship requirement. At the conclusion of the internship (or the conclusion of the capstone project, independent study, or research project), students must present a summary of their project in both oral and written form for the cohort course Professional Master's Project (NSCI 512). Part-time students who already work in their area of study may fulfill the internship requirements by working on an approved project with their current employer.

TOTAL CREDIT HOURS: 40