Teaching Method
BSc Data Science- 4 Years
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Data Science is a multidisciplinary field that utilizes scientific methods, processes, algorithms, and systems to extract meaningful insights and knowledge from structured and unstructured data.
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It combines elements of statistics, computer science, and domain-specific expertise to uncover patterns, make predictions, and inform decision-making, contributing to a deeper understanding of complex phenomena in various industries.
Admission Deadline
SESSION 1
Admission Open – First Week of November
Admission Closes – Last Week of March
SESSION 2
Admission Open – First Week of April
Admission Closes – Last Week of July
Requirements
Syllabus
Kindly visit the campus for more details
Admission requirements
WASSCE or SSSCE or GBCE or HND or MATURE or GCE or Baccalaureate or Undergraduates or Graduates
Duration and Fees
Fees –
Ghanaian – GHC 4,000 per semester
Non – Ghanaian – $ 800 per semester
Duration – 4 years (8 semesters)
Hostel and Accomodation
Hostel facilities are available
Hostel Fees – click here
Our hostels are clean and hygenic
Job Opportunities
Data Scientist:
Job Description: Analyze complex datasets to provide actionable insights, build machine learning models, and contribute to data-driven decision-making processes.
Salary: $80,000 – $120,000 per year
Data Analyst:
Job Description: Collect, process, and analyze data to help businesses make informed decisions. Create visualizations and reports to communicate findings effectively.
Salary: $60,000 – $90,000 per year
Machine Learning Engineer:
Job Description: Develop and deploy machine learning models, algorithms, and solutions. Collaborate with cross-functional teams to integrate machine learning into products and systems.
Salary: $90,000 – $130,000 per year
Business Intelligence Analyst:
Job Description: Gather and analyze business data to provide insights for strategic planning. Design and maintain dashboards and reports for stakeholders.
Salary: $70,000 – $100,000 per year
Database Administrator:
Job Description: Manage and optimize databases, ensuring data security and integrity. Design and implement data models to support organizational needs.
Salary: $75,000 – $110,000 per year
Data Engineer:
Job Description: Develop, construct, test, and maintain architectures for large-scale data processing. Ensure efficient data flow between systems and implement data pipelines.
Salary: $85,000 – $120,000 per year
Quantitative Analyst:
Job Description: Apply statistical techniques to financial or market data for risk management, investment strategies, or pricing models. Provide insights to support decision-making in finance.
Salary: $90,000 – $130,000 per year
Healthcare Data Analyst:
Job Description: Analyze healthcare data to improve patient outcomes, optimize operations, and support clinical decision-making. Ensure compliance with healthcare regulations.
Salary: $70,000 – $100,000 per year
Cybersecurity Analyst (with a focus on Data):
Job Description: Analyze and interpret security data to identify and mitigate potential threats. Implement measures to protect sensitive data and ensure compliance with cybersecurity standards.
Salary: $80,000 – $110,000 per year
Research Scientist (in academia or industry):
Job Description: Conduct research using statistical and computational techniques to advance knowledge in a specific field. Publish findings, collaborate with peers, and contribute to innovations.
Salary: Varies widely, depending on the sector (academic or industry) and experience level. Typically, $70,000 – $120,000 per year.
Note: Salaries mentioned are approximate figures and can vary based on factors such as location, industry, company size, and individual experience.
FAQ related to BSc Data Science
1. How to apply for BSc Data Science at SIIMT? ▼
To apply for BSc Data Science at SIIMT, click here. Follow the registration process on the provided page to start your journey in SIIMT - BSc Data Science
2. Is data science coding? ▼
Yes, coding is an integral part of data science. Data scientists use programming languages like Python or R to analyze and interpret data, build machine learning models, and extract meaningful insights.
Simplilearn - Data Science vs Programming
3. Is data scientist an IT job? ▼
While data science and IT share some common elements, data science is a specialized field focusing on extracting insights from data. Data scientists may work closely with IT professionals, but the roles are distinct.
Data Science Central - Data Scientists vs IT Professionals
4. Is data science a good career? ▼
Yes, data science is considered a lucrative and growing career. With the increasing demand for data-driven decision-making, data scientists play a crucial role in various industries, offering diverse career opportunities.
Indeed - Data Scientist Career Guide
5. Is data science easy to learn? ▼
Learning data science requires a combination of programming, statistics, and domain knowledge. While it can be challenging, there are many resources, courses, and communities available to help individuals acquire the necessary skills.
Analytics Vidhya - Myths About Learning Data Science
