Programs
- BSc Honours in Mathematics with Minor in Computer Science - Undergraduate
- BSc Honours in Mathematics with Minor in Data Science - Undergraduate
Amrita Vishwa Vidyapeetham (AMRITA) and the University of Arizona (UArizona) have launched collaborative, multidisciplinary initiatives delivering international level, high standard curriculums that lead to a combination of online and on campus programs. These unique programs, specially designed by Amrita & UArizona, open multiple pathways for students from India and around the world to earn degrees in a wide range of disciplines.
Amrita Vishwa Vidyapeetham (AMRITA) and the University of Arizona (UArizona) have launched collaborative, multidisciplinary initiatives delivering international level, high standard curriculums that lead to a combination of online and on campus programs. These unique programs, specially designed by Amrita & UArizona, open multiple pathways for students from India and around the world to earn degrees in a wide range of disciplines.
| S. No. | Course Code | Course Title | Credits |
| 1. | BIO 400 | Cell Biology & Stem Cell Biology | 3 |
| 2. | BIO404 | Intellectual Property Rights | 1 |
| 3. | BIF410 | Introduction to Bioinformatics | 3 |
| 4. | BIF413 | Programming Concepts | 3 |
| 5. | BIO425 | Molecular Biology for Bioinformatics | 3 |
| 6. | BIF402 | Database Design and Implementation for Bioinformatics | 3 |
| 7. | BIF487 | Programming for Bioinformatics -Lab | 1 |
| 8. | BIF486 | Bioinformatics Tools-Lab | 1 |
| Total semester credits taught by Amrita Vishwa Vidyapeetham | 18 | ||
| Subjects taught by University of Arizona | |||
| 9. | UAG 501 | Maximizing UA Graduate School (non-credit bearing on degree) | 1 |
| 10. | CMM 533 | Molecular Medicine | 1 |
| 11. | CMM 535 | Genomic Medicine | 1 |
| Total semester credits taught by University of Arizona | 3 | ||
| Total credits for Semester 1 | 21 | ||
| S. No. | Course Code | Course Title | Credits |
| 1. | BIO 464 | Cancer Biology (BT/MB Elective I) | 3 |
| 2. | BIF409 | Structural Bioinformatics | 4 |
| 3. | BIF417 | Molecular Sequence Analysis | 4 |
| 4. | BIF418 | Mathematics for Bioinformatics | 4 |
| 5. | BIF415 | Machine Learning and Data Mining | 3 |
| 6. | BIF416 | Programming Using Perl | 3 |
| Total semester credits taught by Amrita Vishwa Vidyapeetham | 21 | ||
| Subjects taught by University of Arizona | |||
| 7. | CMM 603* | The Art of Scientific Discovery | 2 |
| 8. | CMM 520 | Clinical Cancer Genetics | 2 |
| 9. | CMM 541 | Bright-Field Microscopy | 1 |
| 10. | CMM 546 | Fluorescence Microscopy | 1 |
| 11. | CMM 542 | Digital Imaging | 1 |
| Total semester credits taught by University of Arizona | 7 | ||
| Total credits for Semester 1I | 28 | ||
| S. No. | Course Code | Course Title | Credits |
| 1. | BIO513 | Evolution and Comparative Genomics | 3 |
| 2. | BIO518 | Mathematical Modelling of Biological Systems | 2 |
| 3. | BIF519 | Advanced Programming for Bioinformatics | 4 |
| 4. | BIF520 | Object Oriented Programming Language | 4 |
| 5. | BIF515 | Computer-Aided Drug Design and Pharmacoinformatics | 3 |
| 6. | BIF591 | Advanced Programming -Lab | 1 |
| 7. | BIF592 | Object Oriented Programming-Lab | 1 |
| 8. | Elective (Bioinformatics) | 2 | |
| Total semester credits taught by Amrita Vishwa Vidyapeetham | 20 | ||
| Subjects taught by University of Arizona | |||
| 9. | CMM Elective | 1 | |
| 10. | CMM Elective | 1 | |
| 11. | CMM 547 | Histology Basics | 1 |
| 12. | CMM 548 | Histology of the Digestive & Respiratory Systems | 1 |
| 13. | CMM 549 | Histology of the Urogenital & Endocrine Systems | 1 |
| Total semester credits taught by University of Arizona | 5 | ||
| Total credits for Semester III | 25 | ||
| S. No. | Course Code | Course Title | Credits |
| Subjects taught by Amrita Vishwa Vidyapeetham | |||
| 1. | BIO 559 | Thesis | 10 |
| Total semester credits taught by Amrita Vishwa Vidyapeetham | 10 | ||
| Total credits for Semester 1V | 10 | ||
| Total credits for the programme | 84 | ||
M.Sc. Bioinformatics: Graduation in any discipline of science including Mathematics, Engineering or Medicine. Background in Mathematics or Computer Science is preferred. The basic eligibility criteria are minimum 60% aggregate Marks in Qualifying Under Graduate Examination
M.Sc. Microbiology / Biotechnology: Graduation in any discipline of Biological Sciences, Engineering [Biotechnology], Medicine or Equivalent [With Background in Biology]. The basic eligibility criteria are minimum 60% aggregate Marks in Qualifying Under Graduate Examination
For admissions to Dual Degree Programs, performance in the following is taken into account.
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