Bachelor of Computer Science (Bioinformatics)

INTRODUCTION

Bioinformatics is the field of science in which biology, computer science and mathematics merge together to form a single discipline. The Bachelor of Computer Science specializing in Bioinformatics is a new academic programme offered by Faculty of Computing specially tailored to produce Computer Scientists who are able to utilize Computer Science techniques in managing and analysis biological data, problems and developing and discovering new findings in the field of biology. The study exposes the students to algorithms and software for simulations of biological processes and the analysis of molecular biology data. Interdisciplinary collaboration, linking life science and computer science, makes bioinformatics an exciting field of study.

 

PROGRAMME SPECIFICATION

1
Programme Name Bachelor of Computer Science (Bioinformatics)
2
Final Award Bachelor of Computer Science (Bioinformatics)
3
Awarding Institution Universiti Teknologi Malaysia
4
Teaching Institution Bachelor of Computer Science (Bioinformatics)
5
Professional of Statutory Body of Accreditation
6
Language(s) of Instruction Bahasa Malaysia and English
7
Professional of Statutory Body of Accreditation Conventional
8
Mode of Operation (Franchise, Self-govern, etc) Self-govern
9
Study Scheme (Full Time/Part Time) Full Time
10
Study Duration Minimum : 4 years Maximum : 6 years
Type of Semester
No. of Semesters
No. of Weeks
Full Time
Part Time
Full Time
Part Time
Normal
8
14
Short
11
Entry Requirements

 

Programme Educational Objectives (PEO)

The objectives of Bachelor of Computer Science (Bioinformatics) programme are to provide the knowledge, skills and attributes that should be
achieved by the graduates for a successful career.
The programme is designed to produce graduates who:

  1. obtain employment as computer scientists in local and global industries and organisations, where they are competent in applying the
    fundamental knowledge, computational principles and skills in Bioinformatics field to develop software of increasing size and complexity
    across different application areas.
  2. demonstrate an ability to continue to learn throughout their career (professional, technical or postgraduate education) which can strengthen
    their analytical and critical thinking skills to position them to advanced Computer Science and Bioinformatics practices and to contribute to
    the intellectual foundations of the Computer Science and Bioinformatics disciplines.
  3. are involved in bioinformatics and related software projects that they are proficient in applying theoretical computing and knowledge in
    analysing, modelling, designing, developing and evaluating computing solutions.
  4. become leaders or technopreneurs in interdisciplinary disciplines.
  5. demonstrate an awareness of professional ethics and social responsibility as computer scientists specialising in bioinformatics.

 

Programme Learning Outcomes

(A) TECHNICAL KNOWLEDGE AND COMPETENCIES
Code
Intended Learning Outcomes
Teaching and Learning
Methods
Assessment
PO1
(Knowledge
Understanding)
Ability to acquire and apply theory and principles of Computer Science and Bioinformatics, and equip with social science and personal development knowledge.
Lectures, tutorials, laboratory works, problem-based learning, active learning, cooperative learning
Examinations, laboratory reports, discussions (peer evaluation), problem-based exercises (reports, reviews, presentations)
PO2
(Technical)
Ability to design and construct computer programs using standard approaches
Lectures, tutorials, laboratory works, problem-based learning, active learning, cooperative learning
Examinations, laboratory reports, discussions (peer evaluation), problem-based exercises (reports, reviews, presentations)
PO3
(Solve Problems
using Technical
Knowledge)
Ability to identify, formulate and solve real world bioinformatics problems through principles and methodologies.
Project supervision, lectures, tutorials, independent research, laboratory works, seminars, directed-reading
Project reports, seminar presentations, seminar report, individual project, problem-based examinations, laboratory reports, industrial training.
(B) GENERIC SKILLS
Code
Intended Learning Outcomes
Teaching and Learning
Methods
Assessment
PO4
(CS-Communication)
Ability to present technical solutions to a range of audience
Individual presentation, Independent research projects, group research projects, industrial training
Oral presentation, peer evaluation, supervisor evaluation
PO5
(CTPS-Critical
Thinking & Problem
Solving)
Ability to think critically and creatively in order to solve real world problem
Independent projects, group projects, industrial training.
Project Reports, seminar presentations, seminar report, individual project problem-based examinations, laboratory reports
PO6
(TS-Team Working)
Ability to work effectively in a team
Group projects presentation
Oral presentations, peer evaluation
PO7
(LL-Life Long
Learning)
Ability to undertake lifelong learning and actively participate in change
Tutorials, laboratory works, group project assignments, independent reading
Group reports, learning logs/diaries,
seminar presentation
PO8
(KK-Entrepreneurship)
Ability to identify business opportunity and develop entrepreneurship skill
Business idea generation, business plan, group project
Business idea competition, presentation, final project commercial value
PO9
(LS-Leadership)
Ability to function effectively and with responsibility as a leader to achieve common goals
Project, group discussions, industrial training
Industrial training, peer evaluation
PO10
(EM-Ethical Moral)
Ability to demonstrate behaviours that are consistent with the Code of Professional Ethics and Responsibilities
Independent research projects, group research projects, industrial training
Industrial training, independent project reports, peer evaluation, learning portfolios

 

Programme Structures and Features, Curriculum and Award Requirements

The programme is offered in full-time mode based on a two (2) Semester Academic Year with several courses being delivered and assessed in each semester. Assessment: 25-50% examination, 50-75% course work.

Award requirements:

To graduate, students MUST:

  1. Achieve a total of 128 credit hours with minimum of CPA is 2.0;
  2. Pass industrial training (equivalent to 12 credit hours), which 4 credits will be graded and 8 credits as HW status;
  3. Complete the Bioinformatics Undergraduate Project.

Career Prospects

Graduate of the programme can work as a Bioinformatics Software Engineer, Bioinformatics Computer Programmer, Bioinformatics Research
Scientist, Bioinformatics Grid and Cluster Administrator, Biology Information System Analyst, Biology Information System Manager,
Bioinformatics Service Provider, Biotechnology Computational Instrument Developer and Maintainer, Pharmaceutical Information Scientist and
Chemoinformatician.

 

PROGRAMME: BACHELOR OF COMPUTER SCIENCE (BIOINFORMATICS)

Study Duration: Minimum 8 Semesters / Maximum 12 Semesters

YEAR 1 (Semester I)
YEAR 1 (Semester II)
Code
Course Name
Credit
Code
Course Name
Credit
SCSD1513
Technology and Information System
3
SCSI1113
Computational Mathematic
3
SCSI1013
Discrete Structure
3
SCSJ1023
Programming Technique II
3
SCSJ1013
Programming Technique I
3
SCSR1213
Network Communications
3
SCSR 1013
Digital Logic
3
SCSI2143
Probability & Statistical Data Analysis
3
UHAS1172
UHAS1162
Malaysia Dynamic
Art, Custom and Beliefs of Malaysia
(International Students)
2
SQBS1143
Molecular and Cellular Biology
3
ULAB1122
Academic English Skills
2
UICI1012
ULAM1112
Islamic and Asian Civilization (TITAS)
Bahasa Melayu untuk Komunikasi
(International Students)
2
Total Credit:
16
Total Credit:
17
YEAR 2 (Semester I)
YEAR 2 (Semester II)
Code
Course Name
Credit
Code
Course Name
Credit
SCSD 2523
Database
3
SCSV1223
Web Programming
3
SCSD 2613
System Analysis and Design
3
SCSJ 2154
Object Oriented Programming
4
SCSR 2033
Computer Organization and
Architecture
3
SCSR 2043
Operating Systems
3
ULAB2122
Advanced Academic English Skills
2
SCSV 2113
Human Computer Interaction
3
Elective Courses – Choose 1 (3 Credits)
UKQXxxx2
Co-Curriculum
2
SCSB2103
Bioinformatics I
3
SCSD2623
Database Programming
Total Credit:
17
Total Credit:
18
YEAR 3 (Semester I)
YEAR 3 (Semester II)
Code
Course Name
Credit
Code
Course Name
Credit
SCSJ 3203
Theory of Computer Science
3
SCSB3032
Bioinformatic Project I
2
ULAB3162
English for Professional Purpose
2
SCSD3761
Technopreneurship Seminar
1
Elective Courses – Choose 4 (13 Credits)
UCSD2762
Fundamental of Technopreneurship
2
SCSJ 3104
Applications Development
4
Uxxx2xx2
Innovation and Creativity Sub cluster-
Choose 1 from 3 electives
2
SCSJ 3553
Artificial Intelligence
3
UICI 2022
Science, Technology and Human
2
Elective Courses – Choose 3 (9 Credits)
SCSB3103
Bioinformatics II
3
SCSB3213
Bioinformatics Database
3
SCSB3133
Computational Biology I
3
SCSB3223
Computational Biology II
3
SCSB3203
Programming for Bioinformatics
3
SQBS3683
Structure And Function of Proteins
3
SCSB4243
Special Topics in Bioinformatics
3
Total Credit:
18
Total Credit:
18
YEAR 4 (Semester I)
YEAR 4 (Semester II)
Code
Course Name
Credit
Code
Course Name
Credit
SCSB 4118
Industrial Training (HW)
8
SCSB4134
Bioinformatics Project II
4
SCSB 4114
Industrial Training Report
4
SLAX1112
Elective Foreign Language (Malaysian
Students)
2
Elective Courses – Choose 3 (9 Credits)
SQBS4713
Genomics and Proteomics
3
SCSB4313
Bioinformatics Modeling and
Simulation
3
SCSB4213
Bioinformatics Visualization
3
SCSJ3303
Internet Programming
3
Total Credit:
12
Total Credit:
15

 

Total number of credits for graduation : 128 credit

Fees