Bachelor of Science in Elementary Education - Special Education

at MSM Group - University of Missouri-St. Louis USA

The BSW program stresses the critical, empirical, and applied aspects of social work while incorporating a liberal arts perspective throughout the curriculum. Students are required to complete 43-credit hours of human behavior, practice, research and policy courses in social work, 30-credit hours of related area coursework and 570-clock hours of fieldwork in a social services agency, providing a strong focus on community and agency field work in a social work setting. The practicum provides students the opportunity to practice what they learn in the classroom in generalist social work practice activities.

Professional social work education enables students to integrate the knowledge, values and skills of the profession into competent practice.

The BS in Data Science and Analysis is an interdisciplinary program that is designed for students who want to develop statistical and data science skills. While data science is at the core of this program, students will also select a specialization from one of the following emphasis areas: biology, computer science, economics, mathematics, social science or supply chain analytics.

Students will learn the latest techniques including Python, R, Big Data and Data Mining. This degree will require between 36- and 51-credit hours to complete, depending on the emphasis area selected.

The BS in Data Science and Analysis is an interdisciplinary program that is designed for students who want to develop statistical and data science skills. While data science is at the core of this program, students will also select a specialization from one of the following emphasis areas: biology, computer science, economics, mathematics, social science or supply chain analytics.

Students will learn the latest techniques including Python, R, Big Data and Data Mining. This degree will require between 36- and 51-credit hours to complete, depending on the emphasis area selected.

The BS in Data Science and Analysis is an interdisciplinary program that is designed for students who want to develop statistical and data science skills. While data science is at the core of this program, students will also select a specialization from one of the following emphasis areas: biology, computer science, economics, mathematics, social science or supply chain analytics.

Students will learn the latest techniques including Python, R, Big Data and Data Mining. This degree will require between 36- and 51-credit hours to complete, depending on the emphasis area selected.

The St. Louis Joint Undergraduate Engineering Program combines strengths of two universities to provide a flexible engineering program for the St. Louis Community.

• First two years at UMSL for pre-engineering and general education courses.
• Transition to the Wash U campus to complete upper-level engineering courses.
• Professors are industry professionals with graduate degrees and tenured WUSTL faculty.
• Students may attend part time or full time, which allows them to take advantage of internships and co-op positions.
• The Engineering Program matches quality with affordability. The cost for engineering courses is the UMSL tuition plus a fee.

The BS in Data Science and Analysis is an interdisciplinary program that is designed for students who want to develop statistical and data science skills. While data science is at the core of this program, students will also select a specialization from one of the following emphasis areas: biology, computer science, economics, mathematics, social science or supply chain analytics.

Students will learn the latest techniques including Python, R, Big Data and Data Mining. This degree will require between 36- and 51-credit hours to complete, depending on the emphasis area selected.

This M.S. degree in biochemistry & biotechnology is offered in cooperation with the Department of Biology and the Department of Chemistry and Biochemistry at the University of Missouri-St. Louis. This degree program encompasses both the basic principles and the technological applications of biochemistry and biotechnology, providing students with the training they need to become a part of the broad life sciences industry. The feature of the Professional Science Emphasis is additional coursework in Business electives, giving students a unique perspective on the business, financial, and legal aspects of biotechnology research.  Most courses are offered in the late afternoon or evening.

The BS in Biochemistry and Biotechnology allows students to develop the skills necessary to enter the biotechnology and life sciences workforce or to pursue further studies at the professional or graduate level. Students receive solid foundations in both chemistry and biology, as well as the opportunity to specialize within the rapidly growing fields of biochemistry and biotechnology.

The Biology Department ranks in the top 20 percent of the nation’s research institutions, based on scholarly productivity and federal research grant funding. Both biology and chemistry students have the opportunity to engage in hands-on research projects under the guidance of faculty.

The Bachelor’s degrees in Biology are available as both a BA and a BS, with both designed to prepare students for basic technical positions and graduate or professional studies in the life sciences. Both have the same core courses and general education requirements, but the BA has more emphasis on associated humanities areas, while the BS requires additional in-depth study, laboratory experience, communication skills and background in associated science areas.

The BS in Data Science and Analysis is an interdisciplinary program that is designed for students who want to develop statistical and data science skills. While data science is at the core of this program, students will also select a specialization from one of the following emphasis areas: biology, computer science, economics, mathematics, social science or supply chain analytics.

Students will learn the latest techniques including Python, R, Big Data and Data Mining. This degree will require between 36- and 51-credit hours to complete, depending on the emphasis area selected.