Authors :
Rachel T. Alegado; Prince Mert O. Nicolas; Emilsa T. Bantug; Rodibelle F. Leona; Michael E. Bensi; Arnold P. Dela Cruz
Volume/Issue :
Volume 6 - 2021, Issue 11 - November
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3ygCTXG
Abstract :
In this present era, data has become a powerful
and vital component of emerging technologies, especially
in the digital economy. Innovations and advancements in
this digital economy and other sectors can be attributed
and associated with data studies. Thus, the field of Data
Science and Data Analytics has dramatically evolved over
the last decade and continuously gaining popularity,
particularly in Information Technology. In Philippine
education, the Commission on Higher Education has
formulated draft guidelines for B.S. Data Science and
Analytics Program recognize the need to produce a futureready generation that can answer the needs of the
industry's economic trends and domains. In line with this,
the College of Information and Communications
Technology of the Nueva Ecija University of Science and
Technology proposes opening a new program: Bachelor of
Science in Data Science and Data Analytics. A feasibility
study is an essential tool to assess the viability of the
proposed program.
The objectives of this feasibility study are to identify
if there is a significant demand of the program based on
stakeholders' responses. Provide analysis of the feasibility
in opening the proposed program under the College of
Information and Communications Technology. And
provide a comprehensive reference, including faculty line
up, curriculum design, curriculum map, and course
description.
The descriptive method was used for this study. A
questionnaire and interviews were used as the primary
instruments. The involvement of the stakeholders
(students in public and private schools, parents, industry
professionals and academicians) make this study possible.
Using important files and papers from the College, a
SWOT Analysis was conducted to investigate and
determine the program's competitiveness and/or
attractiveness.
The result reveals that many student respondents are
interested in enrolling in the B.S. in Data Science and
Analytics program. The demand for the course,
employability, low financial cost for enrollment, and the
university's strong reputation are some of the iterated
factors observed among the respondents. The SWOT
analysis enumerates the strengths, weaknesses,
opportunities, and threats findings in the program.
The offering of a Bachelor of Science in Data Science
and Data Analytics is deemed necessary to produce a
future-ready generation of data scientists that will fill the
industry's need.
Keywords :
Data Science and Data Analytics, SWOT Analysis
In this present era, data has become a powerful
and vital component of emerging technologies, especially
in the digital economy. Innovations and advancements in
this digital economy and other sectors can be attributed
and associated with data studies. Thus, the field of Data
Science and Data Analytics has dramatically evolved over
the last decade and continuously gaining popularity,
particularly in Information Technology. In Philippine
education, the Commission on Higher Education has
formulated draft guidelines for B.S. Data Science and
Analytics Program recognize the need to produce a futureready generation that can answer the needs of the
industry's economic trends and domains. In line with this,
the College of Information and Communications
Technology of the Nueva Ecija University of Science and
Technology proposes opening a new program: Bachelor of
Science in Data Science and Data Analytics. A feasibility
study is an essential tool to assess the viability of the
proposed program.
The objectives of this feasibility study are to identify
if there is a significant demand of the program based on
stakeholders' responses. Provide analysis of the feasibility
in opening the proposed program under the College of
Information and Communications Technology. And
provide a comprehensive reference, including faculty line
up, curriculum design, curriculum map, and course
description.
The descriptive method was used for this study. A
questionnaire and interviews were used as the primary
instruments. The involvement of the stakeholders
(students in public and private schools, parents, industry
professionals and academicians) make this study possible.
Using important files and papers from the College, a
SWOT Analysis was conducted to investigate and
determine the program's competitiveness and/or
attractiveness.
The result reveals that many student respondents are
interested in enrolling in the B.S. in Data Science and
Analytics program. The demand for the course,
employability, low financial cost for enrollment, and the
university's strong reputation are some of the iterated
factors observed among the respondents. The SWOT
analysis enumerates the strengths, weaknesses,
opportunities, and threats findings in the program.
The offering of a Bachelor of Science in Data Science
and Data Analytics is deemed necessary to produce a
future-ready generation of data scientists that will fill the
industry's need.
Keywords :
Data Science and Data Analytics, SWOT Analysis
