Academic Programs

Undergraduate Minor

Informatics

The Informatics Undergraduate Minor is designed to provide UNL students with core computational skill sets and competencies that will allow them to solve problems within their chosen discipline or field. This minor will build interdisciplinary problem solving skills that are applicable and advantageous across academia and within industry. It draws on a variety of fields in the humanities, journalism, education, fine and performing arts, and computational sciences for elective credit.

class catalog

Doctorate Program

Complex Biosystems

This program prepares students for both academic and industrial careers. It is directed toward students interested in applying quantitative statistical and computational approaches to data acquisition and analysis in multiple life sciences fields including human health and medical biochemistry, plant phenomics, and host-microbial metagenomics.

In this program, students participate in a full year of laboratory rotations (3 total) on diverse topics, with one semester of laboratory teaching experience. In the first year of study, students consider "big questions" in the life sciences, and learn current technical and analytical approaches to answer them.

Graduate Handbook Apply

Specialization Tracks

Microbial Interactions

The Microbial Interactions specialization is designed to provide students with a broad array of training necessary to study complex interactions that occur between mammals and the massive populations of microorganisms that live in and on them. After completing the program, students should:

  1. Understand ecological principles that drive assemblages of microbes (the microbiome) that occupy various niches in and on mammalian hosts
  2. Understand how microbial assemblages relate to health, performance, and disease susceptibility of the host
  3. Understand the host factors (immune system, host genetics) that influence microbial ecosystems
  4. Understand the role of diet in shaping microbial communities
  5. Understand the applications of quantitative data sciences to analyze microbiome data and complex data sets

The first year of courses will consist of the Interdisciplinary Life Sciences PhD Core Curriculum. The remaining 25-30 credit hours will come from a combination of courses that fall into the categories of "host processes", "microbial processes" and "bioinformatics and systems biology". Students will take courses in all three of the categories, with the program of study based on the student's research project and their career goals.

Microbial Interactions Courses

Integrated Plant Biology

The Integrative Plant Biology specialization within the Complex Biosystems Ph.D. Program is designed to prepare graduate students to address complex problems in plant biology that require interdisciplinary research approaches and effectively assimilate laboratory to field-based studies. The program and the specialization feature a systems-oriented curriculum and cutting edge collaborative research. Graduates in this program will have rigorous training in the application and underlying concepts of quantitative research methods, critical literature evaluation, grantsmanship, and statistics. Through this program, students will have exposure to teaching in the life sciences and mentored laboratory research at the cutting edge of the discipline.

The complexity of contemporary challenges in hypothesis testing in a transdisciplinary fashion involving integration across levels of organization from gene to organism to ecosystem, necessitates disciplines, technologies and strategies from a diversified knowledge base. Hence, to be successful in understanding and solving research problems, and for our graduate students to be competitive in the job market, training programs must combine proficiency and breadth across the broad range of scientific fields required to meet the future needs of research in plant biology.

Upon successful completion of the Specialization in Integrative Plant Biology, students will have mastered the skills and concepts necessary to;

  1. Formulate and experimentally test new hypotheses about relationships between genes, organisms, and ecosystems
  2. Demonstrate competence, proficiency and breadth in quantitative plant research
  3. Apply theories and methodologies related to plant biological systems
  4. Conduct and provide leadership in basic and applied research in plant biology.

IPB student's core course selection options (minimum of 3 credits per topic area)

Integrated Plant Biology Courses

Pathobiology and Biomedical Science

The Pathobiology and Biomedical Science specialization within the Interdisciplinary Life Sciences Ph.D. Program is designed to prepare graduate students to address complex problems in normal and pathogenic processes through systems-oriented curriculum and cutting edge collaborative research. Graduates in this program will have received rigorous training in the application and underlying concepts of quantitative research methods, critical literature evaluation, grantsmanship, and statistics. Through this program, students will have exposure to teaching in the life sciences and mentored laboratory research at the cutting edge of the discipline.

Upon successful completion of the Specialization in Pathobiology and Biomedical Science, students will have mastered the skills and concepts necessary to;

  1. Formulate and experimentally test new hypotheses about normal and pathogenic processes
  2. Demonstrate competence in quantitative biology
  3. Apply theories and methodologies related to biological systems
  4. Conduct and provide leadership in basic and applied research.
Pathobiology and Biomedical Science Courses

Systems Analysis

This pathway involves students and researchers in the areas of bioinformatics and computational biology; genetics and genomics; and systems biology. We define bioinformatics as investigating questions about biology and evolution using primarily informatics and statistics; and computational biology as investigating questions about biology and evolution using primarily mathematical modeling and computational simulation Researchers in genetics and genomics apply bioinformatics and computational techniques using data from current and novel biotechnological methods. Systems biology seeks to explain how biological units (genes, pathways, cells, tissues, organisms) function from the perspective of a biological system. These perspectives on research are viewed as inherently compatible, complementary, and reciprocal approaches to scientific inquiry.

Systems Analysis Courses

Computational Organismal Biology, Ecology and Evolution

The specialization in Computational Organismal Biology, Ecology and Evolution (COBEE) will train students with the objective of using combined computational and empirical approaches at the interface of ecology, evolution and organismal biology with the aim of modeling how processes at different scales of biology – from individual to populations to communities and ecosystems – impact each other. While each of these fields has a rich tradition of quantitative methods, new computational approaches are required to bridge process-based individual models with population, community, and ecosystem phenomena. This includes reciprocal interactions between the evolution and expression of individual traits with population dynamics and the myriad of pathways through which organisms engage and respond to their environment. Making these links will benefit from expertise in a variety of adjacent disciplines including mathematics, statistics, computer science, and biomechanics. This program will expect students to conduct research at the interface of at least two of these focal fields (organismal biology, ecology and evolution).

Computational Organismal Biology, Ecology and Evolution Courses