Introduction
The rapid development in the field of Bioinformatics in current decade have made it possible to deal with enormously big and complicated data coming from NGS and other related technologies. One of the biggest implications of post genomic age is that now there is a gradual shift from focusing on a single gene or single protein or single type of interaction to study the entire Biological systems instead. To keep up with this revolution in the field of computational life sciences, we are introducing the one-year diploma program, namely Diploma in Bioinformatics. The program will comprise two semesters with five courses in each semester. Those courses are chosen for this diploma which will strengthen the theoretical as well as experimental grip of students. As the focus of the diploma will be a system level approach in Bioinformatics, students in the second semester will have the opportunity to choose any of the two major tracks of System Biology namely, Genomics and Proteomics track respectively. This diploma will be of great value for students having background in Biological sciences, medical sciences, agricultural sciences and computer sciences as they can apply the knowledge they would gain from this diploma to enhance a whole spectrum of applications in their own field.
Eligibility Criteria
Minimum bachelor’s degree (14 years) from a recognized university/ institute in relevant fields of computer Science/ Biological/ Life Sciences with at least 45% marks or CGPA 2.00 out of 4. No additional prerequisite will be required.
Note:
- “Zero Semester” is not applicable.
- Seats are available on an open merit basis, exclusively for eligible students within Pakistan.
Award of Degree
To become eligible for the award of Diploma in bioinformatics, a student is required to complete at least 30 credit hours course work including practical with minimum CGPA of 2.00 out of 4.
Scheme of Study
| Total Credit Hours | 30 |
| Total Semesters | 2 |
| Duration | 1 Year |
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| Semester No. 1 | |||||||||
| Course Code | Title | Category | Sub Category | Type | Pre Requisite | Credit Hours | Specialization | ||
| BIF401 | Bioinformatics I | Major | Required | 3 (Theory:3, Practical:0) | |||||
| CS201 | Introduction to Programming | Required | 3 (Theory:3, Practical:0) | ||||||
| MB503T | Cell and Molecular Biology (Theory) | Major | Required | 3 (Theory:3, Practical:0) | |||||
| STA301 | Statistics and Probability | Required | 3 (Theory:3, Practical:0) | ||||||
| BIF401P | Bioinformatics I (Practical) | Major | Required | 1 (Theory:0, Practical:1) | |||||
| CS201P | Introduction to Programming (Practical) | Major | Required | 1 (Theory:0, Practical:1) | |||||
| VU001 | Introduction to e-Learning | Required | 1 (Theory:1, Practical:0) | ||||||
| Semester No. 2 | |||||||||
| Course Code | Title | Category | Sub Category | Type | Pre Requisite | Credit Hours | Specialization | ||
| BIF501 | Bioinformatics II | Major | Required | 3 (Theory:3, Practical:0) | |||||
| CS403 | Database Management Systems | Required | 3 (Theory:3, Practical:0) | ||||||
| CS441 | Big Data Concepts | Major | Required | 3 (Theory:3, Practical:0) | |||||
| CS620 | Modelling and Simulation | Major | Required | 3 (Theory:3, Practical:0) | |||||
| ZOO630T | Research Methods in Biology (Theory) | Major | Required | 2 (Theory:2, Practical:0) | |||||
| BIF501P | Bioinformatics II (Practical) | Major | Required | 1 (Theory:0, Practical:1) | |||||