New scientists, as well as people who can apply scientific knowledge to business and education, are always in demand.
The biology curriculum is structured to provide a broad base of knowledge in the biological sciences and collateral areas as well as to allow the student to best prepare for his or her chosen field of work in the biological or health sciences or in biology education. Courses offered for students not majoring in biology are designed to give a fundamental understanding of selected areas of biology, particularly as they relate to human health and disease.
A minimum grade of C- in BIOL 112 is required for admission to all biology courses numbered 240 or higher.
Interested freshmen and transfer students should consult with the department for placement information prior to registration.
A number of students round out their undergraduate experiences with Dominican’s numerous independent research and internship opportunities. Cooperative seminars at places like the Shedd Aquarium and Morton Arboretum and extensive laboratory requirements are just a few examples of these offerings.
Advanced students are encouraged to do original research either at Dominican or at neighboring institutions. Hours are arranged after consultation with individual faculty members.
Cooperative Biology Courses at the Morton Arboretum and the Shedd Aquarium
As part of its participation in the program of the Associated Colleges of the Chicago Area, Dominican University offers credit for cooperative courses given in selected biological topics at the Morton Arboretum and at the Shedd Aquarium as well as for cooperative seminar courses in advanced topics in biology. These courses are often taught by guest lecturers who are experts in the subject. Because the cooperative course topics vary from year to year, interested students should consult the biology faculty for course and registration information.
The following collateral courses are recommended for those intending to do graduate work:
- Chemistry 360; Mathematics 261, 262;
- A course in statistics;
- A course in computer programming.