Associate Degree in Business Analytics

The Associate Degree in Business Analytics program at Newports Institute is structured to equip students with a comprehensive understanding of data analysis and its application in business decision-making. The curriculum is designed to be completed in two years of full-time study and includes a mix of classroom instruction, practical projects, and real-world case studies. Key areas of focus include data mining, statistical analysis, data visualization, and predictive modeling, ensuring students gain both theoretical knowledge and practical skills in business analytics

Enhance your expertise in data analysis, statistical modeling, and business intelligence with Newports Institute’s Associate Degree in Business Analytics program. This program is tailored for individuals looking to kickstart or elevate their careers by gaining a solid foundation in business analytics.

By pursuing an AD in Business Analytics, you will acquire the analytical skills that are highly sought after by employers. Upon completion of the program, you will be well-equipped to excel as a data analyst, business intelligence analyst, or operations analyst in a variety of industries. You will be prepared to tackle critical tasks such as data interpretation, forecasting, and strategic decision-making.

If your ambition is to further your education in the field of business analytics, this associate program serves as an excellent stepping stone. With this credential in hand – achievable in a shorter timeframe compared to a bachelor’s degree – you can showcase your capabilities to potential employers.

The benefits of pursuing a degree in Business Analytics are numerous. You will be able to drive operational efficiency by optimizing processes and identifying areas for improvement. Additionally, you will gain a competitive edge by leveraging data-driven insights to make informed business decisions. Moreover, you will be equipped to mitigate risks by analyzing trends and patterns to anticipate potential challenges.

Embark on your journey towards a successful career in business analytics with Newports Institute’s Associate Degree program, and unlock a world of opportunities in the dynamic field of data analysis and business intelligence.

Admission Eligibility Criteria
Intermediate (equivalent to 12 years of education) with at least 50% marks.

Note

  • Candidates having ‘A’ levels are required to provide equivalence certificate from Inter Board Committee of Chairman (IBCC), Islamabad. (http://www.ibcc.edu.pk/)
  • Candidates having less than 50% marks will be eligible for admission after successful completion of “Zero  Semester”.
  • Course exemptions are not allowed.
  • Data Science
  • Data Analytics
  • Operations Research
  • Information Security
  • Management Consulting
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Semester-1 Semester-2
Category COURSE CODE COURSE TITLE TH PR Category COURSE CODE COURSE TITLE TH PR
GEN COM103 Functional English – I 3 0 GEN COM208 Expository writing 3 0
GEN MTH110 Quantitative Reasoning (Business Mathematics) 3 0 GEN STA305 Quantitative Reasoning (Business Statistics) 3 0
CORE MAM101 Principles of Management 3 0 CORE ACC101 Principles of Accounting 3 0
GEN CSC101 Introduction to Computer Applications 2 1 GEN NSC107 Natural Sciences (Ecology) 3 0
CORE ECO105 Principles of Micro Economics 3 0 CORE ECO110 Principles of Macroeconomics 3 0
GEN SS106 Social Sciences (Sociology) 2 0 0
Semester Credit Hours 16 1 Semester Credit Hours 15 0
Semester-3 Semester-4
COURSE CODE COURSE TITLE TH PR COURSE CODE COURSE TITLE TH PR
CORE Business Analytics Tools 3 0 CORE 0
CORE MKT101 Principles of Marketing 3 0 CORE Predictive Analytics 3 0
GEN HUM108 Civic and Community Engagement (CSR) 2 0 CORE ACC215 Cost and Management Accounting 3 0
IDC Advanced Business Analytics 3 0 CORE MKT215 Business Research Methods 3 0
GEN HUM115 Art and Humanities (Professional Practices) 2 0 CORE Database Design & Applications 3 0
GEN HUM105 Islamic Studies 2 0 GEN MAN110 Entrepreneurship 2 0
GEN HUM104 Pakistan Studies 2 0
FE Internship 3
Semester Credit Hours 15 0 Semester Credit Hours 19 0

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