diff --git a/pandas/io/sas/sas7bdat.py b/pandas/io/sas/sas7bdat.py
index b75f05cf9ed7e..f4474b7480236 100644
--- a/pandas/io/sas/sas7bdat.py
+++ b/pandas/io/sas/sas7bdat.py
@@ -629,9 +629,15 @@ def _chunk_to_dataframe(self):
                 rslt[name] = self._byte_chunk[jb, :].view(
                     dtype=self.byte_order + 'd')
                 rslt[name] = np.asarray(rslt[name], dtype=np.float64)
-                if self.convert_dates and (self.column_formats[j] == "MMDDYY"):
-                    epoch = pd.datetime(1960, 1, 1)
-                    rslt[name] = epoch + pd.to_timedelta(rslt[name], unit='d')
+                if self.convert_dates:
+                    unit = None
+                    if self.column_formats[j] in const.sas_date_formats:
+                        unit = 'd'
+                    elif self.column_formats[j] in const.sas_datetime_formats:
+                        unit = 's'
+                    if unit:
+                        rslt[name] = pd.to_datetime(rslt[name], unit=unit,
+                                                    origin="1960-01-01")
                 jb += 1
             elif self.column_types[j] == b's':
                 rslt[name] = self._string_chunk[js, :]
diff --git a/pandas/io/sas/sas_constants.py b/pandas/io/sas/sas_constants.py
index 65ae1e9102cb2..8bbe0117f9a56 100644
--- a/pandas/io/sas/sas_constants.py
+++ b/pandas/io/sas/sas_constants.py
@@ -145,3 +145,17 @@ class index:
     b"\xFF\xFF\xFF\xFE": index.columnListIndex,
     b"\xFE\xFF\xFF\xFF\xFF\xFF\xFF\xFF": index.columnListIndex,
     b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFE": index.columnListIndex}
+
+
+# List of frequently used SAS date and datetime formats
+# http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_intervals_sect009.htm
+sas_date_formats = ("DATE", "DAY", "DDMMYY", "DOWNAME", "JULDAY", "JULIAN",
+                    "MMDDYY", "MMYY", "MMYYC", "MMYYD", "MMYYP", "MMYYS",
+                    "MMYYN", "MONNAME", "MONTH", "MONYY", "QTR", "QTRR",
+                    "NENGO", "WEEKDATE", "WEEKDATX", "WEEKDAY", "WEEKV",
+                    "WORDDATE", "WORDDATX", "YEAR", "YYMM", "YYMMC", "YYMMD",
+                    "YYMMP", "YYMMS", "YYMMN", "YYMON", "YYMMDD", "YYQ",
+                    "YYQC", "YYQD", "YYQP", "YYQS", "YYQN", "YYQR", "YYQRC",
+                    "YYQRD", "YYQRP", "YYQRS", "YYQRN")
+
+sas_datetime_formats = "DATETIME", "DTWKDATX"
diff --git a/pandas/io/tests/sas/data/dt.sas7bdat b/pandas/io/tests/sas/data/dt.sas7bdat
new file mode 100644
index 0000000000000..e33eaf4fafed3
Binary files /dev/null and b/pandas/io/tests/sas/data/dt.sas7bdat differ
diff --git a/pandas/io/tests/sas/test_sas7bdat.py b/pandas/io/tests/sas/test_sas7bdat.py
index 6661d9fee5df0..f50e19cd4c139 100644
--- a/pandas/io/tests/sas/test_sas7bdat.py
+++ b/pandas/io/tests/sas/test_sas7bdat.py
@@ -112,3 +112,13 @@ def test_airline():
     df0 = pd.read_csv(fname)
     df0 = df0.astype(np.float64)
     tm.assert_frame_equal(df, df0, check_exact=False)
+
+
+def test_date_time():
+    dirpath = tm.get_data_path()
+    fname = os.path.join(dirpath, "dt.sas7bdat")
+    df = pd.read_sas(fname)
+    di = pd.to_datetime(["1960-05-03", "1993-10-19", "2014-10-04",
+                         "1960-01-02 10:17:36"])
+    df0 = pd.DataFrame(di, index=("D1", "D2", "D3", "DT")).T
+    tm.assert_frame_equal(df, df0)